Extract AI prompt history from tool logs into structured JSON payloads.
npx skills add https://github.com/gutierrezje/promptex --skill prompt-history
Please help me install this Agent Skill. Skill: prompt-history Source: https://github.com/gutierrezje/promptex/tree/main/skills/prompt-history Command: npx skills add https://github.com/gutierrezje/promptex --skill prompt-history
Extracts and curates AI prompt history into PR-ready markdown using PromptEx (pmtx). Use when the user asks about prompt history, wants to document their AI-assisted reasoning for a PR, or asks to extract or summarize their session.
Run pmtx extract to generate PR-ready prompt history from your AI tool logs.
High-intent search queries and answers about installing and using this skill.
Documenting AI prompt history for a pull request involves extracting prompts from tool logs and converting them into a structured JSON payload, which is then formatted into PR-ready markdown files for traceable review.
The best way to extract AI session history from tool logs is to parse the logs for prompts and metadata, convert them into a canonical JSON payload, and render that payload into structured markdown documentation.
Yes, curating PR-ready prompts requires the pmtx binary to execute the extraction process that pulls AI session data from your logs and generates the structured JSON output.
Yes, you can redact sensitive prompts when generating AI session summaries, as the extraction process applies redaction to sensitive prompts before outputting the final structured JSON payload for documentation.
The extracted AI prompt history outputs to a canonical structured JSON payload, which can then be formatted into a timestamped markdown file named PROMPTS-YYYYMMDD-HHMM.md for PR documentation.
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