ContextLab

Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.

Generate a custom checklist for the current feature based on user requirements.

Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.

Execute the implementation plan by processing and executing all tasks defined in tasks.md

Create or update the feature specification from a natural language feature description.

Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.

Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.

Execute the implementation planning workflow using the plan template to generate design artifacts.

Create or update the feature specification from a natural language feature description.

Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.

Audit and improve existing multiple-choice questions for a Knowledge Mapper domain. Identifies and fixes quality problems: (1a) questions too long/complex, (1b) tests recognition not understanding, (2) distractors varying on non-critical dimensions, (3a) answers guessable from context, (3b) keyword leakage, (3c) cultural/common knowledge giveaway, (3d) definition-as-question. Includes adversarial non-expert test. Accepts a domain name as $ARGUMENTS (e.g., /audit-questions biology). Runs iterative flag-then-fix passes until all questions pass.

Generate high-quality multiple-choice questions for a Knowledge Mapper domain. Use when asked to generate or regenerate questions for a domain (e.g., 'generate questions for biology', 'regenerate the physics question set'). Accepts a domain name as $ARGUMENTS (e.g., /generate-questions quantum-physics). Runs a 5-step iterative pipeline: generate Q+A → review Q+A → generate distractors → review distractors → compile JSON.

Use when the user wants to recall, search, or reference their own PAST Claude Code prompts (across this or other projects) — e.g. "what did I ask about X earlier", "find my previous prompt about Y", "show my prompt history", "have I mentioned Z before", "what was that prompt where I pasted the screenshot". Queries the local prompt log via the `surfer` CLI. Do NOT use for searching code or files.