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Found 2,779 Skills
peach-harness 버전 업데이트 → CHANGELOG.md 자동 생성 → develop 커밋/푸시 → main PR 생성 → PR 머지 → GitHub Release 생성까지 일괄 처리하는 릴리스 스킬. 변경 내용 분석 후 사용자가 major/minor/patch를 직접 선택. 승인 1회 후 일괄 실행. "릴리스", "버전 업", "release", "main 머지", "배포 준비" 키워드로 트리거. peach-harness 저장소에서만 사용한다.
Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.
Operate Resend email campaigns, webhooks, Gmail reply sync, and Google Sheets tracking for the m26pipeline scripts/emails toolkit. Use when sending batch mail via send_campaign, syncing replies, running the email webhook server, UTM links, Resend API keys, sparse-clone setup, idempotency, or follow-up cohorts. Applies to any environment once scripts/emails is present or fetched from GitHub.
Autonomous PRD implementation loop — turns GitHub issues into shipped code using TDD, code review gates, and Docker sandbox isolation. The execution engine for the grill-me → write-a-prd → prd-to-issues → ralph pipeline.
Find and read academic papers: disambiguate queries, discover papers (search, citation traversal, recommendations, arXiv monitoring, trending, GitHub search), evaluate (TLDR, citations, code, SOTA), and read with structured analysis (3-level strategy). Use when: finding papers, reading a paper, related work, citation analysis, research trends, SOTA results, datasets. Do NOT use for generating literature survey reports (use research-survey), generating research ideas (use research-ideation), writing a paper's Related Work section (use paper-writing), comparing/ranking research ideas (use research-ideation), or planning paper structure (use paper-planning).
Use this skill whenever a user wants to deploy, host, run, or set up any project on a Linux VPS (Virtual Private Server). Triggers include: setting up a Node.js/Python/other app on a server, checking server compatibility with a project, making an app accessible online, fixing port issues, keeping an app running with PM2 or systemd, setting up tunnels (ngrok, localtunnel, pinggy), cloning private GitHub repos to a server, configuring environment variables, managing logs, enabling auto-restart on reboot, dealing with AWS/GCP firewalls, or any combination of these. Always use this skill when the user is working on a remote Linux server and wants to deploy or run any kind of application — even if they don't use the word "VPS" explicitly.
Convert Markdown documents to professionally styled DOCX (Word) files with python-docx. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, cover pages, TOC field, watermarks, and page numbers. Supports multiple color themes matching any2pdf (Warm Academic, Nord, GitHub Light, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled Word document, generate an editable report from markdown, or create a DOCX from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions "markdown to docx", "md2docx", "any2docx", "md转word", "md转docx", "生成word", or asks for an "editable document" from markdown source.
Research GitHub, GitLab, and Bitbucket repositories using DeepWiki MCP server. Use when exploring unfamiliar codebases, understanding project architecture, or asking questions about how a specific open-source project works. Provides AI-powered repo analysis and RAG-based Q&A about source code. NOT for fetching library API docs (use fetching-library-docs instead) or local files.
Runs available security scanning tools against the current project and produces a consolidated markdown report. Auto-detects installed tools (gitleaks, semgrep, grype, npm audit, bandit, pip-audit, gosec, govulncheck, cargo audit, bundle-audit) and activates language-specific scanners based on project files. Gracefully skips missing tools and provides installation hints. By default scans the entire target directory. Pass --full to make the intent explicit (useful in workflows that combine full-codebase and diff-only scans). Use when running security scans, checking for vulnerabilities, detecting leaked secrets in git history, or validating security posture before commits or releases. Pairs with security-review for a complete security workflow.
Bump the NVIDIA PyTorch base image (`nvcr.io/nvidia/pytorch:<YY.MM>-py3`) used by Megatron-LM CI. Covers the two pin sites (GitHub CI in `docker/.ngc_version.dev` and GitLab CI in `.gitlab/stages/01.build.yml`), the post-bump CI loop (re-run functional tests, refresh golden values, mark broken tests), and the gotchas that bit PRs
Audit JS supply-chain hygiene (Safe Chain on dev machine, .npmrc/equivalent in repo, GitHub Actions CI gates, CONTRIBUTING.md mention) and offer interactive fixes. INVOKE ONLY when the user explicitly types `/supply-chain-check` — do NOT auto-invoke based on project type, lockfile presence, security mentions, or any related context.
Multi-platform, multi-channel notification skill for AI code agents. Sends notifications (sound, macOS alert, Telegram, Email, Slack, Discord) when the agent needs user interaction or completes a task. Supports Claude Code, GitHub Copilot CLI, Cursor, Codex, and Aider.