claude-code-skills-pack

Dataset Viewer

The dataset viewer is not available for this subset.

Cannot get the split names for the config 'default' of the dataset.

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/harbor/harbor.py", line 171, in _split_generators
                  raise DataFilesNotFoundError("No task.toml or instruction.md files found")
              datasets.exceptions.DataFilesNotFoundError: No task.toml or instruction.md files found
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Claude Code Skills Pack

18 production-grade skills for Claude Code. 5 free.

Each skill is a SKILL.md that Claude Code loads automatically when you hit the situation it covers — and then follows as an operating procedure, not a suggestion. Rollout percentages for flag-gated releases. The exact loop for killing a flaky test. The backwards-compatibility checklist for API changes. The triage ladder for a pile of security findings. Written by someone who has done these things at 3am, for the agent that has to do them next.

What's in the pack

Skill	What it does
`shipping-behind-feature-flags`	Rollout schedule with exact percentages and dwell times, written error-rate thresholds, and a rollback that's a 60-second flag flip.
`postmortem-writing`	Blameless format with a sourced timeline, root-cause discipline past "bug in X," and a 5-rule action-item rubric that rejects "improve monitoring."
`dependency-upgrade-triage`	A T1–T5 severity ladder (exploitable+reachable first), what to pin vs. skip vs. defer, and suppressions that require an owner and a review date.
`git-rebase-survival-guide`	Pre-flight checks, the conflict loop with test-after-every-continue, reflog recovery for bad force-pushes, and the rebase-vs-merge decision.
`perf-profiling-loop`	Measure→hypothesize→profile→fix loop, flamegraph reading heuristics, per-stack profiling commands.
`test-pyramid-refactor`	What to cut from an inverted suite, the bug-reintroduction check that makes cutting safe, and the time budgets per layer.
`api-contract-review`	The additive/risky/breaking classification, the deprecation-window rules, and the `oasdiff`/`buf breaking` CI gate.
`incident-runbook-authoring`	Runbook structure built for the tired 3am reader, the 5-minute triage rule, and the quarterly drill that keeps runbooks honest.
`code-review-discipline`	The B/M/m/nit severity rubric, the three-pass review structure, and the letting-go rules that keep PRs shipping Thursday.
`mcp-server-authoring`	Tool-schema design rules (one tool = one intent, enums over open-ended params), output byte-budgets, and the 5-prompt smoke test.
`claude-md-wrangling`	What belongs in CLAUDE.md and what doesn't, the 150-line budget, subdirectory splitting, and the fresh-session verification loop.
`flaky-test-hunting`	The N-run reproduction loop, the closed classification set (timer/order/state/race/network/locale), and the 200-run exit criteria.
`migration-rollback-plan`	Expand→migrate→contract sequencing, chunked idempotent backfills with lock-avoidance settings, and the rollback table written before anything runs.
`security-scan-triage`	Reachability-ranked severity (exploitability before CVSS), the source-to-sink check for SAST, and suppression entries with owners and dates.
`observability-instrumentation`	SLO-first instrumentation, 14.4×/6× burn-rate alerts, RED/USE metrics, and the cardinality trap that breaks TSDBs.
`release-notes-crafting`	Commit-to-user-sentence translation, the three-part breaking-change form, and audience altitude per reader.
`docs-drift-audit`	Executing documented commands in a clean clone, verifying defaults against source, and doc-tests that make drift a CI failure.
`ai-agent-eval-design`	Golden-set construction from production failures, anchored rubrics, LLM-judge bias controls, and the calibration bar (κ ≥ 0.6) before you trust a score.

Free (5)

flaky-test-hunting, code-review-discipline, postmortem-writing, dependency-upgrade-triage, claude-md-wrangling — the five highest-traffic skills, included in the zip under skills-pack/lite/ as a lead magnet.

Install

Download skills-pack.zip from this repository, unzip, then copy the skills/ directory into your Claude Code skills location:

# Global (all projects)
cp -r skills ~/.claude/skills/

# Project-scoped (this repo only)
cp -r skills .claude/skills/

Each skill activates automatically when your task matches its trigger — say "this test is flaky, find out why" and flaky-test-hunting loads. You can also invoke explicitly: "use the postmortem-writing skill."

License

Personal, non-commercial. Use in unlimited personal and work projects. Don't resell the pack (or a substantially modified version of it) as-is. You may use the skills' output (your rollouts, postmortems, runbooks) however you like — those are yours.

Part of the freelance portfolio of Minh Tran, automation & data engineer.

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