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Found 2,044 Skills
Triage supplied or imported security findings against a repository using its security policy and static code evidence. Accepts scanner reports, advisories, GitHub findings, and Jira or Linear tickets. Do not use for discovery, duplicate triage, runtime validation, or fixes.
Deploys, hosts, or runs a container or Docker app on Amazon Lightsail Container Service and returns a live, managed HTTPS URL at a flat monthly price — no cluster, VPC, load balancer, or registry to set up. Used when deploying a container image to Lightsail from a local Docker build, a public registry image, or a GitHub repo, or when a Lightsail container deployment fails or won't serve — including when the request doesn't name Lightsail but asks to run one always-on container behind a public URL at a flat, predictable monthly price. Not for running an app on a Lightsail instance (VM) or Amazon EC2 instead of the container service, and not for workloads needing Kubernetes, autoscaling, scale-to-zero, or per-request pricing (use Amazon ECS/EKS or ECS Express Mode).
Execute real actions across 1000+ applications (Gmail, Slack, GitHub, Notion, etc.) using Composio's tool routing. Stop suggesting—start doing.
Complete AI agent operating system setup with Kanban task management. Use when setting up multi-agent coordination, task tracking, or configuring an agent team. Includes theme selection (DBZ, One Piece, Marvel, etc.), workflow enforcement (all tasks through board), browser setup, GitHub integration, and memory enhancement (mem0, Supermemory, QMD).
Use when about to ask the user a factual question, propose a solution, diagnose an error, or choose between approaches. Triggers on: 'Do you have X installed?', 'What version?', 'Is X configured?', 'We should...', 'The fix is...', 'Options: 1...', 'Based on my understanding...', 'I believe X supports...'. Before deciding anything, spin up parallel subagents to WebSearch for current docs, community solutions, framework best practices, and GitHub issues. Your memory is stale — verify everything.
Guides Docker, CI/CD pipelines, deployment strategies, infrastructure as code, and observability setup. Use when writing Dockerfiles, configuring GitHub Actions, planning deployments, setting up monitoring, or when asked about containers, pipelines, Terraform, or production infrastructure.
Fetch and analyze OpenRank and other statistical metrics for an open source repository or developer using OpenDigger data. Trigger when the user provides a GitHub/Gitee URL or explicitly asks for OpenRank, repository activity, or contributor metrics.
Decompose input into a structured task backlog for automated agent loops. Use when asked to "create a task plan", "break this into tasks", "decompose this PRD", "turn this into a backlog", or "plan tasks from" any input source (PRD, Figma feedback, GitHub issues, user requirements). Also use when the user provides a PRD, design doc, or requirements and wants executable tasks, even if they don't mention "task plan" explicitly.
Prepare code for a pull request by orchestrating sync, format, lint, test, review, and doc updates. Use when user says 'create a PR', 'prepare pull request', 'get ready for PR', 'validate my changes', 'prepare for review', 'pre-merge checks', or 'is this ready to merge'. Do NOT use for only running tests, only reviewing (use review-diff), only syncing with main (use merge-main), or actually opening the PR on GitHub — this skill stops at "ready."
Operate a Gitea instance via its REST API at /api/v1/... with curl. FORCED ROUTING — use this skill for any repository whose git remote host is not github.com: derive the candidate HTTPS base URL from the remote host, probe /api/v1/version, then call the REST endpoints directly.
🇺🇸 SEO & GEO Dual-Engine Playbook 2026 — Rank on Google AND get cited by AI search (ChatGPT, Perplexity, Claude, Gemini). Battle-tested from AFFiNE (60k GitHub stars in 24 months) and 150+ AI startup consultations. E-E-A-T writing voice system, keyword funnel strategy, JSON-LD schema templates, comparison page SOP, IndexNow setup, Generative Engine Optimization content patterns. **Optimized for dev tools / OSS / B2B SaaS. 2C products (education, apps, games): see 2c-adaptation guide in references/.** 🇨🇳 SEO & GEO 双引擎增长手册 —— 同时拿下 Google 排名和 AI 搜索引用（ChatGPT、Perplexity、Claude、文心一言）的完整方法论。AFFiNE 60k stars 与 150+ AI 创业公司咨询实战验证。E-E-A-T 写作声音系统、关键词漏斗、JSON-LD 结构化数据、竞品对比页 SOP、IndexNow 推送、生成式引擎优化内容模式。**默认适用于开发者工具 / 开源项目 / B2B SaaS，2C 产品（教育/应用/游戏）请参考 references/2c-adaptation.md。** 🇯🇵 SEO & GEO デュアルエンジングロースプレイブック — Google検索とAI検索（ChatGPT、Perplexity、Claude）の両方で評価される手法。AFFiNE 60k starsと150社以上のAIスタートアップコンサルティングで検証。E-E-A-Tライティング、キーワードファネル、Schema.org構造化データ、比較ページSOP。**デフォルトは開発者ツール／OSS／B2B SaaS向け。2C製品（教育・アプリ・ゲーム）はreferences/2c-adaptation.mdを参照。** 🇰🇷 SEO & GEO 듀얼 엔진 성장 플레이북 — 구글 검색과 AI 검색(ChatGPT, Perplexity, Claude) 양쪽 모두에서 인용되는 방법론. AFFiNE 60k 스타와 150+ AI 스타트업 컨설팅으로 검증. E-E-A-T 글쓰기, 키워드 퍼널, Schema.org 구조화 데이터, 비교 페이지 SOP. **기본값은 개발자 도구/OSS/B2B SaaS용. 2C 제품(교육·앱·게임)은 references/2c-adaptation.md 참조.** Triggers: "SEO" | "GEO" | "Generative Engine Optimization" | "AI search optimization" | "ChatGPT SEO" | "Perplexity SEO" | "Claude SEO" | "search optimization" | "content SEO" | "technical SEO" | "schema markup" | "JSON-LD" | "structured data" | "IndexNow" | "E-E-A-T" | "keyword strategy" | "keyword funnel" | "comparison page" | "programmatic SEO" | "SaaS SEO" | "搜索优化" | "AI 搜索" | "内容 SEO" | "GEO 优化" | "生成式引擎优化"
Local & CI companion to the AI Diff Reviewer GitHub Action (DailybotHQ/ai-diff-reviewer on GitHub, "AI Diff Reviewer" on the Marketplace). Router for five capabilities — (1) run a local review of the current branch's diff using the SAME methodology as the CI action, (2) generate a repo-tailored `.review/extension.md` via the `generate-extension` sub-skill, (3) install and configure the GitHub Action itself in a repo that doesn't have it yet via the `setup` sub-skill (also doubles as the reference manual for every `action.yml` input), (4) author a well-documented pull request from the current branch's diff (Conventional-Commits title inference, structured body, PR-template merge, `gh pr create`/`edit`) via the `open-pr` sub-skill, (5) read the AI review the CI Action posted back on the current branch's open PR, present findings in the same format as the local review, and optionally walk the developer through each finding to apply/defer/skip (multi-leg-aware, per-finding consent, no commits/pushes) via the `apply-review` sub-skill. Auto-detects `.review/extension.md` (or `.github/ai-diff-reviewer/extension.md` as fallback) and layers it on top of the shipped default prompt for full local↔CI parity. Use when the developer wants a local pre-flight review before pushing, asks "run a code review on my current changes", wants to customize the reviewer to this repo, asks "how do I set up ai diff reviewer?", asks a reference-style question about any of the action's inputs, asks to "open a PR", "create the pull request", or "write the PR body" for the current branch, or asks "what did the CI review say?", "apply the AI review's fixes", or "walk me through the review findings".