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Automatically detect source types and build AI skills using Skill Seekers. Use when the user wants to create skills from documentation, repos, PDFs, videos, or other knowledge sources.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | skill-builder |
| description | Automatically detect source types and build AI skills using Skill Seekers. Use when the user wants to create skills from documentation, repos, PDFs, videos, or other knowledge sources. |
| domain | core |
| tags | ["ai-infrastructure","automation","parsing","scraping","rag"] |
You have access to the Skill Seekers MCP server which provides 40 tools for converting knowledge sources into AI-ready skills.
Build new agent skills with proper structure, triggers, and verification.
Trigger phrases:
Use this skill when the user:
Automatically detect the source type from user input:
| Input Pattern | Source Type | Tool to Use |
|---|---|---|
https://... (not GitHub/YouTube) | Documentation | scrape_docs |
owner/repo or github.com/... | GitHub | scrape_github |
*.pdf | scrape_pdf | |
| YouTube/Vimeo URL or video file | Video | scrape_video |
| Local directory path | Codebase | scrape_codebase |
*.ipynb, *.html, *.yaml (OpenAPI), *.adoc, *.pptx, *.rss, *.1-.8 | Various | scrape_generic |
| JSON config file | Unified | Use config with scrape_docs |
generate_config or fetch_config if neededestimate_pages for documentation sitesenhance_skill if the user wants AI-powered improvementspackage_skill for the target platformexport_to_* toolsgenerate_config — Generate a scraping config from a URLlist_configs — List available preset configsvalidate_config — Validate a config filescrape_docs — Documentation sitesscrape_github — GitHub repositoriesscrape_pdf — PDF filesscrape_video — Video transcriptsscrape_codebase — Local code analysisscrape_generic — Jupyter, HTML, OpenAPI, AsciiDoc, PPTX, RSS, manpage, Confluence, Notion, chatenhance_skill — AI-powered skill enhancementpackage_skill — Package for target platformupload_skill — Upload to platform APIinstall_skill — End-to-end install workflowdetect_patterns — Design pattern detection in codeextract_test_examples — Extract usage examples from testsbuild_how_to_guides — Generate how-to guides from testssplit_config — Split large configs into focused skillsexport_to_weaviate, export_to_chroma, export_to_faiss, export_to_qdrant — Vector DB exportEnforce staged execution discipline on large tasks: written stage plan, parallel sub-agent delegation, failable verification at each stage, and skeptical self-review before delivery. Use when tasks span multiple files, multiple sources, or multiple sessions. Also triggers on "do this thoroughly", "be systematic", "deep work mode", "be thorough".
Write production-quality code from specs — reads requirements, researches patterns, implements with tests, and iterates until verification passes. Use when implementing features, fixing bugs with known root causes, or building new modules.
Ship code to production through a controlled pipeline with verification gates and rollback plans. Use when deploying features, managing CI/CD, running database migrations, or performing post-incident hotfix recovery.
Investigate topics deeply with cross-referenced sources and produce evidence-backed findings. Use when evaluating technologies before adoption, analyzing competitors, or investigating bug root causes across docs and issues.
Read code changes with adversarial intent to find bugs, security holes, logic errors, and performance traps. Use when reviewing PRs, auditing refactoring for regressions, or running pre-deploy safety checks.
Detect and fix code style violations, enforce project conventions, and ensure consistent formatting across the codebase. Use when cleaning lint errors before PRs, migrating linters, or bulk-applying new rules.