Capture and analyze session prompts, then generate optimized versions in PROMPT_LAB.md.
npx skills add https://github.com/jstoobz/dotfiles --skill prompt-lab-jstoobz
Please help me install this Agent Skill. Skill: prompt-lab Source: https://github.com/jstoobz/dotfiles/tree/main/claude/skills/session-kit/prompt-lab Command: npx skills add https://github.com/jstoobz/dotfiles --skill prompt-lab-jstoobz
This Skill captures the session's initial user prompt, analyzes its effectiveness, and generates an optimized version for reuse and learning. It helps turn vague or ambiguous prompts into precise, actionable instructions.
Run the prompt-lab tool to capture the session's initial prompt and generate an optimized version. The tool updates PROMPT_LAB.md and provides the new ready-to-use prompt for the next session.
High-intent search queries and answers about installing and using this skill.
To optimize prompts, capture the session's initial prompt and evaluate its clarity, scope, context, constraints, and actionability to generate a refined version. This analysis produces a ready-to-use prompt with coaching notes for improved future sessions.
Prompt engineering coaching evaluates your initial prompt's effectiveness and transforms vague or ambiguous instructions into precise, actionable instructions. It generates optimized prompts incorporating session learnings, boundaries, and concrete outcomes for better AI results.
Document and save previous prompts in markdown by updating a PROMPT_LAB.md file with the original prompt, analysis, and refined version. Prior prompts are automatically preserved under a Previous Prompts section for ongoing reference.
Yes, the session's initial prompt is automatically captured to identify the first substantive instruction and evaluate its effectiveness. This allows you to systematically analyze and refine the original prompt without manual transcription.
No specific dependencies or components are required to run prompt-lab. It operates independently to capture session prompts, analyze effectiveness, and generate optimized markdown documentation without external tool integrations.
cas-bigdatalabConfigure the initial data source for a DAG workflow with a file path.
dazuckTransform rough prompts into optimized AI instructions with structure and examples.
cursor-jsCreate standardized markdown changesets for semantic versioning and release notes.
alpoxdevGenerate and optimize reusable prompt packs with output schemas and regression fixtures.
