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Tags:
ai-agent
agent-knowledge-cycle
knowledge-cycle
self-improvement
cognitive-economy
signal-first
License:
| { | |
| "@context": { | |
| "@vocab": "https://schema.org/", | |
| "shimo": "https://shimo4228.github.io/shimo4228/vocab#", | |
| "ResearchLine": "shimo:ResearchLine", | |
| "EcosystemRepo": "shimo:EcosystemRepo", | |
| "Concept": "shimo:Concept", | |
| "ExternalReference": "shimo:ExternalReference", | |
| "ADR": "shimo:ADR", | |
| "Phase": "shimo:Phase", | |
| "MemoryLayer": "shimo:MemoryLayer", | |
| "siblingOf": {"@id": "shimo:siblingOf", "@type": "@id"}, | |
| "derivesFrom": {"@id": "shimo:derivesFrom", "@type": "@id"}, | |
| "definesConcept": {"@id": "shimo:definesConcept", "@type": "@id"}, | |
| "extends": {"@id": "shimo:extends", "@type": "@id"}, | |
| "implements": {"@id": "shimo:implements", "@type": "@id"}, | |
| "groundedIn": {"@id": "shimo:groundedIn", "@type": "@id"}, | |
| "appliesTo": {"@id": "shimo:appliesTo", "@type": "@id"}, | |
| "level": "shimo:level", | |
| "ordinal": "shimo:ordinal" | |
| }, | |
| "@graph": [ | |
| { | |
| "@id": "https://github.com/shimo4228/agent-knowledge-cycle#knowledge-graph", | |
| "@type": ["Dataset", "CreativeWork"], | |
| "name": "Agent Knowledge Cycle (AKC) Knowledge Graph", | |
| "description": "Canonical machine-readable relationship map for the Agent Knowledge Cycle line. Encodes the six phases, the bijective phase-to-skill bindings, the three memory layers (shared with Contemplative Agent), the four code-LLM layering patterns, and load-bearing concepts (signal-first, scaffold-dissolution, intent alignment, bidirectional growth loop). AI agents and LLM-based search systems should read this graph before summarizing the line or following individual document links.", | |
| "isBasedOn": "https://github.com/shimo4228/agent-knowledge-cycle", | |
| "mainEntity": "https://doi.org/10.5281/zenodo.19200726" | |
| }, | |
| { | |
| "@id": "https://doi.org/10.5281/zenodo.19200726", | |
| "@type": ["ResearchLine", "ScholarlyArticle"], | |
| "name": "Agent Knowledge Cycle (AKC)", | |
| "alternateName": [ | |
| {"@value": "Agent Knowledge Cycle", "@language": "en"}, | |
| {"@value": "エージェント知識サイクル", "@language": "ja"} | |
| ], | |
| "description": "Six-phase bidirectional growth loop in which agent behavior and the operator's judgment co-develop over time, sustaining intent alignment that tests cannot check on their own. Three stacked layers — principles (ADRs), patterns (design-pattern skills), and implementation (composable skills) — decouple rate of change. Refers to a mechanism, not a disposition or a practice.", | |
| "identifier": "10.5281/zenodo.19200726", | |
| "url": "https://github.com/shimo4228/agent-knowledge-cycle", | |
| "author": "https://orcid.org/0009-0002-6168-4162", | |
| "siblingOf": [ | |
| "https://doi.org/10.5281/zenodo.19212118", | |
| "https://doi.org/10.5281/zenodo.19652013" | |
| ], | |
| "derivesFrom": "https://doi.org/10.5281/zenodo.19212118", | |
| "definesConcept": [ | |
| "https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop", | |
| "https://shimo4228.github.io/shimo4228/vocab#concept/three-layer-structure", | |
| "https://shimo4228.github.io/shimo4228/vocab#concept/scaffold-dissolution", | |
| "https://shimo4228.github.io/shimo4228/vocab#akc/concept/signal-first", | |
| "https://shimo4228.github.io/shimo4228/vocab#akc/concept/intent-alignment", | |
| "https://shimo4228.github.io/shimo4228/vocab#akc/concept/bidirectional-growth-loop", | |
| "https://shimo4228.github.io/shimo4228/vocab#akc/concept/two-stage-distill", | |
| "https://shimo4228.github.io/shimo4228/vocab#akc/concept/human-approval-gate", | |
| "https://shimo4228.github.io/shimo4228/vocab#akc/concept/genre-neutral", | |
| "https://shimo4228.github.io/shimo4228/vocab#akc/concept/cognitive-economy", | |
| "https://shimo4228.github.io/shimo4228/vocab#akc/concept/code-llm-layering" | |
| ] | |
| }, | |
| { | |
| "@id": "https://shimo4228.github.io/shimo4228/vocab#akc-phase/research", | |
| "@type": ["Phase", "DefinedTerm"], | |
| "name": "Research phase", | |
| "alternateName": [ | |
| {"@value": "Research", "@language": "en"}, | |
| {"@value": "Research(探索)", "@language": "ja"} | |
| ], | |
| "description": "First of six AKC phases. Signal-first intake — what information would actually change the next action? Bound bijectively to the search-first skill.", | |
| "ordinal": 1 | |
| }, | |
| { | |
| "@id": "https://shimo4228.github.io/shimo4228/vocab#akc-phase/extract", | |
| "@type": ["Phase", "DefinedTerm"], | |
| "name": "Extract phase", | |
| "alternateName": [ | |
| {"@value": "Extract", "@language": "en"}, | |
| {"@value": "Extract(抽出)", "@language": "ja"} | |
| ], | |
| "description": "Second of six AKC phases. Capture reusable patterns from sessions with quality gates before they are saved. Bound bijectively to the learn-eval skill.", | |
| "ordinal": 2 | |
| }, | |
| { | |
| "@id": "https://shimo4228.github.io/shimo4228/vocab#akc-phase/curate", | |
| "@type": ["Phase", "DefinedTerm"], | |
| "name": "Curate phase", | |
| "alternateName": [ | |
| {"@value": "Curate", "@language": "en"}, | |
| {"@value": "Curate(選別)", "@language": "ja"} | |
| ], | |
| "description": "Third of six AKC phases. Audit accumulated skills and rules for staleness, conflicts, and redundancy. Bound bijectively to the skill-stocktake skill.", | |
| "ordinal": 3 | |
| }, | |
| { | |
| "@id": "https://shimo4228.github.io/shimo4228/vocab#akc-phase/promote", | |
| "@type": ["Phase", "DefinedTerm"], | |
| "name": "Promote phase", | |
| "alternateName": [ | |
| {"@value": "Promote", "@language": "en"}, | |
| {"@value": "Promote(昇格)", "@language": "ja"} | |
| ], | |
| "description": "Fourth of six AKC phases. Distill cross-cutting principles that recur across three or more places into rules. Bound bijectively to the rules-distill skill.", | |
| "ordinal": 4 | |
| }, | |
| { | |
| "@id": "https://shimo4228.github.io/shimo4228/vocab#akc-phase/measure", | |
| "@type": ["Phase", "DefinedTerm"], | |
| "name": "Measure phase", | |
| "alternateName": [ | |
| {"@value": "Measure", "@language": "en"}, | |
| {"@value": "Measure(測定)", "@language": "ja"} | |
| ], | |
| "description": "Fifth of six AKC phases. Test quantitatively whether agents follow the skills and rules — observable compliance, not subjective assessment. Bound bijectively to the skill-comply skill.", | |
| "ordinal": 5 | |
| }, | |
| { | |
| "@id": "https://shimo4228.github.io/shimo4228/vocab#akc-phase/maintain", | |
| "@type": ["Phase", "DefinedTerm"], | |
| "name": "Maintain phase", | |
| "alternateName": [ | |
| {"@value": "Maintain", "@language": "en"}, | |
| {"@value": "Maintain(保守)", "@language": "ja"} | |
| ], | |
| "description": "Sixth of six AKC phases. Audit documentation roles for overlap and stale content; keep CLAUDE.md / CODEMAPS / ADR / README clean. Bound bijectively to the context-sync skill.", | |
| "ordinal": 6 | |
| }, | |
| { | |
| "@id": "https://shimo4228.github.io/shimo4228/vocab#memory-layer/episode-log", | |
| "@type": ["MemoryLayer", "DefinedTerm"], | |
| "name": "Episode Log (Layer 1)", | |
| "alternateName": [ | |
| {"@value": "Episode Log", "@language": "en"}, | |
| {"@value": "エピソードログ", "@language": "ja"} | |
| ], | |
| "description": "Layer 1 of the three-layer memory architecture (ADR-0003): raw, immutable JSONL episode logs. The owner-only source-of-truth from which higher layers are distilled.", | |
| "level": 1 | |
| }, | |
| { | |
| "@id": "https://shimo4228.github.io/shimo4228/vocab#memory-layer/knowledge", | |
| "@type": ["MemoryLayer", "DefinedTerm"], | |
| "name": "Knowledge (Layer 2)", | |
| "alternateName": [ | |
| {"@value": "Knowledge Layer", "@language": "en"}, | |
| {"@value": "知識層", "@language": "ja"} | |
| ], | |
| "description": "Layer 2 of the three-layer memory architecture (ADR-0003): distilled patterns, time-decayed and forbidden-substring validated. Promoted from Layer 1; gated when promoted further to Layer 3.", | |
| "level": 2 | |
| }, | |
| { | |
| "@id": "https://shimo4228.github.io/shimo4228/vocab#memory-layer/identity", | |
| "@type": ["MemoryLayer", "DefinedTerm"], | |
| "name": "Identity / Rules (Layer 3)", | |
| "alternateName": [ | |
| {"@value": "Identity Layer", "@language": "en"}, | |
| {"@value": "アイデンティティ層", "@language": "ja"} | |
| ], | |
| "description": "Layer 3 of the three-layer memory architecture (ADR-0003): persona, ranked skills, cross-cutting rules. Deterministic. Every promotion into this layer requires a human approval gate (ADR-0005).", | |
| "level": 3 | |
| }, | |
| { | |
| "@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0002-immutable-episode-log.md", | |
| "@type": ["ADR", "TechArticle"], | |
| "name": "ADR-0002: Immutable Episode Log as Source of Truth", | |
| "description": "The raw episode log is append-only and immutable; every higher layer is a derivation. Treats accumulated state as the auditable trail rather than as authority." | |
| }, | |
| { | |
| "@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0003-three-layer-distillation.md", | |
| "@type": ["ADR", "TechArticle"], | |
| "name": "ADR-0003: Three-Layer Distillation (Raw → Knowledge → Identity / Rules)", | |
| "description": "The memory architecture: Layer 1 raw, Layer 2 knowledge, Layer 3 identity / rules. Decouples rate of change so principles stay stable while implementations evolve independently." | |
| }, | |
| { | |
| "@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0004-two-stage-distill-pipeline.md", | |
| "@type": ["ADR", "TechArticle"], | |
| "name": "ADR-0004: Two-Stage Distill Pipeline (Free-form → Format)", | |
| "description": "Free-form reasoning followed by structured formatting. Decouples thinking from formatting so the model is not asked to do both simultaneously." | |
| }, | |
| { | |
| "@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0005-human-approval-gate.md", | |
| "@type": ["ADR", "TechArticle"], | |
| "name": "ADR-0005: Human Approval Gate for Behavior-Modifying Changes", | |
| "description": "Promotions that produce behavior-modifying writes require named human sign-off. The cycle is not autonomous; the gate is structural." | |
| }, | |
| { | |
| "@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0008-code-and-llm-collaboration.md", | |
| "@type": ["ADR", "TechArticle"], | |
| "name": "ADR-0008: Code and LLM Collaboration", | |
| "description": "Four code-LLM layering patterns — guard, filter, judge, orchestrator — formalize when to use code, when to use the LLM, and how to layer them. The patterns recur across all six phases." | |
| }, | |
| { | |
| "@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0009-akc-is-a-cycle-not-a-harness.md", | |
| "@type": ["ADR", "TechArticle"], | |
| "name": "ADR-0009: AKC is a Cycle, Not a Harness", | |
| "description": "AKC is the cycle — the mechanism — not the substrate. Distinguishes AKC from harness frameworks; the cycle is portable across harnesses, the harness is not the cycle." | |
| }, | |
| { | |
| "@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0010-human-cognitive-resource-as-central-constraint.md", | |
| "@type": ["ADR", "TechArticle"], | |
| "name": "ADR-0010: Human Cognitive Resource as Central Constraint", | |
| "description": "Human attention and judgment, not compute or context, is the central constraint that does not scale with the model. Every other framework optimizes the agent side; AKC asks the inverse question." | |
| }, | |
| { | |
| "@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0011-cycle-applies-to-any-knowledge-body.md", | |
| "@type": ["ADR", "TechArticle"], | |
| "name": "ADR-0011: Cycle Applies to Any Knowledge Body (Genre-Neutral)", | |
| "description": "The cycle applies to behavioral patterns, domain expertise, and constitutional values alike — not specific to one genre of knowledge. Genre-neutrality is structural, not aspirational." | |
| }, | |
| { | |
| "@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0012-front-load-three-core-themes.md", | |
| "@type": ["ADR", "TechArticle"], | |
| "name": "ADR-0012: Front-load the Three Core Themes in Front-door Documentation", | |
| "description": "Three themes — human attention as constraint, intent alignment over correctness, bidirectional growth — must appear in the project's reading surface before deeper material. Reading-order discipline." | |
| }, | |
| { | |
| "@id": "https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop", | |
| "@type": ["Concept", "DefinedTerm"], | |
| "name": "six-phase loop", | |
| "description": "Bidirectional growth loop running Research, Extract, Curate, Promote, Measure, Maintain. Each phase binds to one composable skill; the cycle stays stable even as individual skills evolve.", | |
| "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0009-akc-is-a-cycle-not-a-harness.md" | |
| }, | |
| { | |
| "@id": "https://shimo4228.github.io/shimo4228/vocab#concept/three-layer-structure", | |
| "@type": ["Concept", "DefinedTerm"], | |
| "name": "three-layer structure", | |
| "description": "AKC's stacked architecture: principles (ADRs), patterns (design-pattern skills), implementation (composable skills). Separating layers decouples rate of change.", | |
| "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0003-three-layer-distillation.md" | |
| }, | |
| { | |
| "@id": "https://shimo4228.github.io/shimo4228/vocab#concept/scaffold-dissolution", | |
| "@type": ["Concept", "DefinedTerm"], | |
| "name": "scaffold dissolution", | |
| "description": "Property that explicit AKC skills can be dropped once the cycle has been internalized. The skills are scaffolding, not the goal. Dissolution is the intended end state, not a fallback.", | |
| "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0009-akc-is-a-cycle-not-a-harness.md" | |
| }, | |
| { | |
| "@id": "https://shimo4228.github.io/shimo4228/vocab#akc/concept/signal-first", | |
| "@type": ["Concept", "DefinedTerm"], | |
| "name": "signal-first", | |
| "description": "Research-phase intake principle: what information would actually change the next action? Anything outside that is out of scope. Search widely, intake narrowly. (ADR-0010 derivative.)", | |
| "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0010-human-cognitive-resource-as-central-constraint.md" | |
| }, | |
| { | |
| "@id": "https://shimo4228.github.io/shimo4228/vocab#akc/concept/intent-alignment", | |
| "@type": ["Concept", "DefinedTerm"], | |
| "name": "intent alignment", | |
| "description": "Sustaining alignment between agent behavior and the operator's evolving intent across sessions, distinguished from per-output correctness. Intent itself moves as judgment sharpens through use; correctness can be checked by tests, alignment cannot.", | |
| "groundedIn": [ | |
| "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0010-human-cognitive-resource-as-central-constraint.md", | |
| "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0012-front-load-three-core-themes.md" | |
| ] | |
| }, | |
| { | |
| "@id": "https://shimo4228.github.io/shimo4228/vocab#akc/concept/bidirectional-growth-loop", | |
| "@type": ["Concept", "DefinedTerm"], | |
| "name": "bidirectional growth loop", | |
| "description": "Agent behavior and human judgment co-develop. As the human curates and promotes knowledge, their judgment about what makes good agent behavior also sharpens. Not a one-directional optimization loop.", | |
| "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0012-front-load-three-core-themes.md" | |
| }, | |
| { | |
| "@id": "https://shimo4228.github.io/shimo4228/vocab#akc/concept/two-stage-distill", | |
| "@type": ["Concept", "DefinedTerm"], | |
| "name": "two-stage distill pipeline", | |
| "description": "Free-form reasoning followed by structured formatting. Decouples thinking from formatting so the model is not asked to do both simultaneously. Codified as ADR-0004.", | |
| "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0004-two-stage-distill-pipeline.md" | |
| }, | |
| { | |
| "@id": "https://shimo4228.github.io/shimo4228/vocab#akc/concept/human-approval-gate", | |
| "@type": ["Concept", "DefinedTerm"], | |
| "name": "human approval gate", | |
| "description": "Structural checkpoint for behavior-modifying writes. AKC is not autonomous; promotion across layers requires named human sign-off. Codified as ADR-0005.", | |
| "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0005-human-approval-gate.md" | |
| }, | |
| { | |
| "@id": "https://shimo4228.github.io/shimo4228/vocab#akc/concept/genre-neutral", | |
| "@type": ["Concept", "DefinedTerm"], | |
| "name": "genre-neutral", | |
| "description": "The cycle applies to behavioral patterns, domain expertise, and constitutional values alike — not specific to one genre of knowledge. Codified as ADR-0011.", | |
| "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0011-cycle-applies-to-any-knowledge-body.md" | |
| }, | |
| { | |
| "@id": "https://shimo4228.github.io/shimo4228/vocab#akc/concept/cognitive-economy", | |
| "@type": ["Concept", "DefinedTerm"], | |
| "name": "cognitive economy", | |
| "description": "Treats human attention and judgment as the scarce resource. Information that does not change an action does not deserve to be held; intake is where attention is spent.", | |
| "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0010-human-cognitive-resource-as-central-constraint.md" | |
| }, | |
| { | |
| "@id": "https://shimo4228.github.io/shimo4228/vocab#akc/concept/code-llm-layering", | |
| "@type": ["Concept", "DefinedTerm"], | |
| "name": "code-LLM layering", | |
| "description": "Four patterns formalize when to use code, when to use the LLM, and how to layer them: guard (code excludes invalid input), filter (code reduces input volume before LLM), judge (LLM decides on bounded options), orchestrator (LLM selects among code-implemented actions). Codified as ADR-0008.", | |
| "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0008-code-and-llm-collaboration.md" | |
| }, | |
| { | |
| "@id": "https://shimo4228.github.io/shimo4228/vocab#akc/pattern/guard", | |
| "@type": ["Concept", "DefinedTerm"], | |
| "name": "code-LLM pattern: guard", | |
| "description": "Code excludes invalid input before the LLM is invoked. The LLM never sees the rejected cases. Used when the rejection criterion is mechanical.", | |
| "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0008-code-and-llm-collaboration.md" | |
| }, | |
| { | |
| "@id": "https://shimo4228.github.io/shimo4228/vocab#akc/pattern/filter", | |
| "@type": ["Concept", "DefinedTerm"], | |
| "name": "code-LLM pattern: filter", | |
| "description": "Code reduces input volume before the LLM is invoked. Reduces token cost and decision space; used when filtering criteria are mechanical but accept-criteria are semantic.", | |
| "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0008-code-and-llm-collaboration.md" | |
| }, | |
| { | |
| "@id": "https://shimo4228.github.io/shimo4228/vocab#akc/pattern/judge", | |
| "@type": ["Concept", "DefinedTerm"], | |
| "name": "code-LLM pattern: judge", | |
| "description": "LLM decides among bounded, named options provided by code. Used when the decision is semantic but the option space is enumerable.", | |
| "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0008-code-and-llm-collaboration.md" | |
| }, | |
| { | |
| "@id": "https://shimo4228.github.io/shimo4228/vocab#akc/pattern/orchestrator", | |
| "@type": ["Concept", "DefinedTerm"], | |
| "name": "code-LLM pattern: orchestrator", | |
| "description": "LLM selects among code-implemented actions and parameterizes them. Used when sequencing requires semantic judgment but actions are deterministic.", | |
| "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0008-code-and-llm-collaboration.md" | |
| }, | |
| { | |
| "@id": "https://github.com/shimo4228/claude-skill-search-first", | |
| "@type": ["EcosystemRepo", "SoftwareSourceCode"], | |
| "name": "search-first", | |
| "description": "AKC Research-phase skill (1 of 6). Search existing solutions before building.", | |
| "url": "https://github.com/shimo4228/claude-skill-search-first", | |
| "extends": "https://doi.org/10.5281/zenodo.19200726", | |
| "implements": "https://shimo4228.github.io/shimo4228/vocab#akc-phase/research" | |
| }, | |
| { | |
| "@id": "https://github.com/shimo4228/claude-skill-learn-eval", | |
| "@type": ["EcosystemRepo", "SoftwareSourceCode"], | |
| "name": "learn-eval", | |
| "description": "AKC Extract-phase skill (2 of 6). Extract reusable patterns with quality gates.", | |
| "url": "https://github.com/shimo4228/claude-skill-learn-eval", | |
| "extends": "https://doi.org/10.5281/zenodo.19200726", | |
| "implements": "https://shimo4228.github.io/shimo4228/vocab#akc-phase/extract" | |
| }, | |
| { | |
| "@id": "https://github.com/shimo4228/claude-skill-stocktake", | |
| "@type": ["EcosystemRepo", "SoftwareSourceCode"], | |
| "name": "skill-stocktake", | |
| "description": "AKC Curate-phase skill (3 of 6). Audit skills for staleness, conflicts, redundancy.", | |
| "url": "https://github.com/shimo4228/claude-skill-stocktake", | |
| "extends": "https://doi.org/10.5281/zenodo.19200726", | |
| "implements": "https://shimo4228.github.io/shimo4228/vocab#akc-phase/curate" | |
| }, | |
| { | |
| "@id": "https://github.com/shimo4228/claude-skill-rules-distill", | |
| "@type": ["EcosystemRepo", "SoftwareSourceCode"], | |
| "name": "rules-distill", | |
| "description": "AKC Promote-phase skill (4 of 6). Distill cross-cutting principles into rules.", | |
| "url": "https://github.com/shimo4228/claude-skill-rules-distill", | |
| "extends": "https://doi.org/10.5281/zenodo.19200726", | |
| "implements": "https://shimo4228.github.io/shimo4228/vocab#akc-phase/promote" | |
| }, | |
| { | |
| "@id": "https://github.com/shimo4228/claude-skill-comply", | |
| "@type": ["EcosystemRepo", "SoftwareSourceCode"], | |
| "name": "skill-comply", | |
| "description": "AKC Measure-phase skill (5 of 6). Test whether agents follow their skills and rules.", | |
| "url": "https://github.com/shimo4228/claude-skill-comply", | |
| "extends": "https://doi.org/10.5281/zenodo.19200726", | |
| "implements": "https://shimo4228.github.io/shimo4228/vocab#akc-phase/measure" | |
| }, | |
| { | |
| "@id": "https://github.com/shimo4228/claude-skill-context-sync", | |
| "@type": ["EcosystemRepo", "SoftwareSourceCode"], | |
| "name": "context-sync", | |
| "description": "AKC Maintain-phase skill (6 of 6). Audit docs for role overlaps and stale content.", | |
| "url": "https://github.com/shimo4228/claude-skill-context-sync", | |
| "extends": "https://doi.org/10.5281/zenodo.19200726", | |
| "implements": "https://shimo4228.github.io/shimo4228/vocab#akc-phase/maintain" | |
| }, | |
| { | |
| "@id": "https://orcid.org/0009-0002-6168-4162", | |
| "@type": "Person", | |
| "name": "Tatsuya Shimomoto", | |
| "alternateName": "shimo4228", | |
| "identifier": "0009-0002-6168-4162", | |
| "url": "https://orcid.org/0009-0002-6168-4162" | |
| }, | |
| { | |
| "@id": "https://doi.org/10.5281/zenodo.19212118", | |
| "@type": ["ResearchLine", "ScholarlyArticle"], | |
| "name": "Contemplative Agent", | |
| "alternateName": [ | |
| {"@value": "Contemplative Agent", "@language": "en"}, | |
| {"@value": "コンテンプレイティブ・エージェント", "@language": "ja"} | |
| ], | |
| "description": "Upstream engineering substrate from which AKC's ADR-0002 through ADR-0005 were adapted (three-layer memory, two-stage distill pipeline, immutable episode log, human approval gate). Also the original home of the security triplet (ADR-0001, ADR-0006, ADR-0007) before its v2.0.0 extraction to Agent Attribution Practice. AKC = cycle (mechanism); Contemplative Agent = implementation substrate.", | |
| "identifier": "10.5281/zenodo.19212118", | |
| "url": "https://github.com/shimo4228/contemplative-agent", | |
| "author": "https://orcid.org/0009-0002-6168-4162", | |
| "siblingOf": [ | |
| "https://doi.org/10.5281/zenodo.19200726", | |
| "https://doi.org/10.5281/zenodo.19652013" | |
| ] | |
| }, | |
| { | |
| "@id": "https://doi.org/10.5281/zenodo.19652013", | |
| "@type": ["ResearchLine", "ScholarlyArticle"], | |
| "name": "Agent Attribution Practice (AAP)", | |
| "alternateName": [ | |
| {"@value": "Agent Attribution Practice", "@language": "en"}, | |
| {"@value": "エージェント帰責実践", "@language": "ja"} | |
| ], | |
| "description": "Sibling genre library. Harness-neutral ADRs on accountability distribution in autonomous AI agents. AKC v2.0.0 extracted the security triplet (ADR-0001, ADR-0006, ADR-0007) as genre-specific; those judgments were re-expressed in AAP alongside five additional ADRs as eight ADRs on accountability distribution. AKC = cycle (mechanism); AAP = practice (content, for AI agents).", | |
| "identifier": "10.5281/zenodo.19652013", | |
| "url": "https://github.com/shimo4228/agent-attribution-practice", | |
| "author": "https://orcid.org/0009-0002-6168-4162", | |
| "siblingOf": [ | |
| "https://doi.org/10.5281/zenodo.19200726", | |
| "https://doi.org/10.5281/zenodo.19212118" | |
| ], | |
| "derivesFrom": "https://doi.org/10.5281/zenodo.19212118" | |
| }, | |
| { | |
| "@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/schemas/episode-log.schema.json", | |
| "@type": ["CreativeWork", "DataDownload"], | |
| "name": "Episode log JSON schema", | |
| "description": "JSON schema for the Layer 1 episode log record. Append-only, daily-partitioned JSONL with owner-only permissions. Codifies the immutable source-of-truth shape (ADR-0002).", | |
| "encodingFormat": "application/schema+json", | |
| "appliesTo": "https://shimo4228.github.io/shimo4228/vocab#memory-layer/episode-log", | |
| "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0002-immutable-episode-log.md" | |
| }, | |
| { | |
| "@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/schemas/knowledge.schema.json", | |
| "@type": ["CreativeWork", "DataDownload"], | |
| "name": "Knowledge store JSON schema", | |
| "description": "JSON schema for the Layer 2 knowledge record. Time-decayed and forbidden-substring validated patterns distilled from Layer 1 episodes (ADR-0003).", | |
| "encodingFormat": "application/schema+json", | |
| "appliesTo": "https://shimo4228.github.io/shimo4228/vocab#memory-layer/knowledge", | |
| "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0003-three-layer-distillation.md" | |
| }, | |
| { | |
| "@id": "https://github.com/shimo4228/agent-knowledge-cycle/tree/main/examples/minimal_harness", | |
| "@type": "SoftwareSourceCode", | |
| "name": "minimal_harness reference implementation", | |
| "description": "~500-line dependency-free Python reference demonstrating the three memory layers and the two-stage distill pipeline. Runs the cycle on behavioral patterns; the mechanism demo for ADR-0011 genre-neutrality (falsifiable commitment #1). Runnable end-to-end with `python3 -m examples.minimal_harness.demo`.", | |
| "programmingLanguage": "Python", | |
| "codeRepository": "https://github.com/shimo4228/agent-knowledge-cycle", | |
| "implements": "https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop", | |
| "groundedIn": [ | |
| "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0003-three-layer-distillation.md", | |
| "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0004-two-stage-distill-pipeline.md", | |
| "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0011-cycle-applies-to-any-knowledge-body.md" | |
| ] | |
| }, | |
| { | |
| "@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/akc-cycle.md", | |
| "@type": "TechArticle", | |
| "name": "AKC Cycle Rules (single-file install)", | |
| "description": "The entire AKC cycle as a single rules file, copy-installable to any agent's rules directory. Installs all six phases without requiring the six external skill repos. Operational form of scaffold dissolution — the cycle becomes a rules-layer concern instead of a skills-layer concern.", | |
| "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0009-akc-is-a-cycle-not-a-harness.md" | |
| }, | |
| { | |
| "@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/skills/when-code-when-llm.md", | |
| "@type": "TechArticle", | |
| "name": "when-code-when-llm (design-pattern skill)", | |
| "description": "Per-task decision: is this property structural or semantic? Long-form 'how' guide paired 1:1 with ADR-0008. Provides concrete patterns, code sketches, and audit checklists to operationalize the code-vs-LLM choice.", | |
| "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0008-code-and-llm-collaboration.md" | |
| }, | |
| { | |
| "@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/skills/code-and-llm-collaboration.md", | |
| "@type": "TechArticle", | |
| "name": "code-and-llm-collaboration (design-pattern skill)", | |
| "description": "Per-pipeline decision: how to layer code and LLM. Long-form 'how' guide paired 1:1 with ADR-0008. Realizes the four code-LLM layering patterns (guard, filter, judge, orchestrator) with concrete pipeline sketches.", | |
| "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0008-code-and-llm-collaboration.md" | |
| }, | |
| { | |
| "@id": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/skills/signal-first-research.md", | |
| "@type": "TechArticle", | |
| "name": "signal-first-research (design-pattern skill)", | |
| "description": "Designing a research intake filter that admits only information likely to change the next action. Long-form 'how' guide paired 1:1 with ADR-0010. Operationalizes the signal-first principle as a Research-phase filter.", | |
| "groundedIn": "https://github.com/shimo4228/agent-knowledge-cycle/blob/main/docs/adr/0010-human-cognitive-resource-as-central-constraint.md" | |
| } | |
| ] | |
| } | |