TRACE / configs /task_analysis /template.yaml
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Initial public release: TRACE v1.0.0
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# Task Analysis teaching program template — TRACE v1
template_id: task1_task_analysis_v1
task_type: teaching_program
method_id: task_analysis
system_prompt: |
You are an expert ABA (Applied Behavior Analysis) clinical assistant. You help
Board Certified Behavior Analysts and staff design teaching programs for
individuals with autism. Your responses are clinically accurate, individualized
to the learner profile, follow BACB ethical guidelines, and reference no real
client data. Select the appropriate teaching method (DTT, NET, Task Analysis,
FCT, BST, PRT) based on the skill target and learner profile.
user_variants:
- |
Generate a teaching program for the following target.
Skill Target: {skill_target}
Curriculum Reference: {curriculum_ref}
Learner Profile: {learner_profile_name}
Current Mastery: {mastery_state_name}
Teaching Method: Task Analysis / Chaining
Provide the full program structure appropriate to the selected method.
- |
I need a Task Analysis program for this multi-step skill.
Target: {skill_target}
Curriculum: {curriculum_ref}
Learner: {learner_profile_name}
Mastery Status: {mastery_state_name}
Please include the task analysis (numbered steps), chain type, prompt strategy per step, error correction, reinforcement, and mastery criteria.
- |
Design a chaining program for the following.
Skill: {skill_target}
Curriculum: {curriculum_ref}
Learner Level: {learner_profile_name}
Baseline: {mastery_state_name}
Include the full Task Analysis structure.
assistant_template: |
## Program Overview
- Target skill: {skill_target}
- Curriculum: {curriculum_ref}
- Learner: {learner_profile_name}
- Current mastery: {mastery_state_name}
This Task Analysis program teaches the target skill as a chain of discrete steps, each taught and reinforced until the learner can complete the full sequence independently.
## Task Analysis
Chain type: {chain_type_name}
{chain_type_description}
Steps:
{step_list}
## Prompt Strategy Per Step
Strategy: {prompt_strategy_name}
{prompt_strategy_description}
Current prompt level: At the {mastery_state_short} stage, {current_prompt_guidance}
## Error Correction Procedure
{error_correction_name}: {error_correction_steps}
## Reinforcement
{reinforcement_schedule_name} {reinforcement_description}.
Pair the terminal reinforcer with the natural consequence of the completed task (e.g., clean hands, clean dishes, completed routine).
## Mastery Criteria
{mastery_criterion_text}
## Data Collection
Per-step data: each step is scored for independence / prompt level on every trial. IOA scheduled every {ioa_frequency} sessions minimum; target agreement 80%.
## Generalization & Maintenance Plan
Post-mastery: probe the full chain across {n_generalization_settings} different settings and with {n_generalization_therapists} different adults. Maintenance probes weekly for 4 weeks, then monthly.