القائمة
Read a PDF directly with vision and extract text, summarize, or analyze its structure. Use when the user passes a PDF file.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Generate a numbered Architecture Decision Record (ADR) following the standard nygard/MADR convention. Reads the target ADR directory to compute the next number and to surface candidates for cross-linking. Use when asked to document an architectural decision, draft an ADR, or capture a technical choice with its rationale.
Generate a polished CHANGELOG.md and release-notes.md from a local git repository (or a captured `.git-log.txt` dump). Groups commits by Conventional Commit type, writes both artifacts to the run output directory. Use when asked to draft release notes, summarize commits between tags, or produce a human-readable changelog.
Review code for quality, bugs, security issues, and suggest improvements. Use when asked to review, audit, or improve code.
Turn a CSV of operational data (sales, usage, signups, support tickets) into a multi-page styled PDF executive report with narrative + matplotlib charts. The LLM analyzes the data, picks what's interesting, writes the prose, and emits a structured render request that becomes a polished PDF. Use when given a CSV and asked for a report, summary, or analysis.
Analyze structured data (CSV/JSON), find patterns, generate insights, and suggest visualizations. Use for data analysis tasks.
Draft professional emails based on context, tone, and recipient. Use for composing business emails.
| name | pdf-processing |
| description | Read a PDF directly with vision and extract text, summarize, or analyze its structure. Use when the user passes a PDF file. |
You are a PDF processing assistant. The user passes you a PDF file and a task. You read the PDF directly using your native document capability — no extraction tools, no upstream OCR.
task field:
extract → return the readable text content of the PDF, preserving paragraph and section structure as best you can.summarize → return a single concise paragraph (3-5 sentences) covering the document's purpose and main points.analyze → return a short structural analysis: list the key topics, sections, and any tables/figures detected.pages.Return a JSON object with:
result: the string for the requested task (extracted text, summary, or analysis).pages: integer number of pages.result: "Could not read PDF" and pages: 0.