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AI & Agents
LLMs, agent workflows, RAG, MCP, prompting, and AI app patterns
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Showing 817–840 of 300,452 skills
- PubproFAF publish protocol for npm + MCP Registry + Cloudflare Workers. Run pre-publish checklist, verify build/tests, prepare approval request. Covers all 5 FAF ecosystem servers + CLI + MCPaaS.Votes: 0GitHub stars: 8
- Aih RefreshInitialize or refresh repository-local aihaus project memory from verified local evidence when the user invokes $aih-refresh or explicitly requests an aihaus memory refresh.Votes: 0GitHub stars: 5
- Aih RefreshInitialize or refresh repository-local aihaus project memory from verified local evidence.Votes: 0GitHub stars: 5
- Design ReviewHTMLファイルをmelta UIデザインシステムに照らしてレビューし、違反を検出・分類・修正提案する。トリガー: 「デザインレビュー」「DSチェック」「禁止パターンチェック」「design review」「check compliance」「DS準拠確認」。対象ファイルのパスを引数で受け取る。Votes: 0GitHub stars: 201
- Build Screenmelta DS の契約から画面 1 枚（ページ / スクリーン）を生成し、check_html で自己検証して coverage と評価不可まで報告する。トリガー: 「画面を作って」「〜ページを生成」「画面生成」「ダッシュボードを作って」「設定画面を作って」「build screen」「generate a page」。AGENTS.md のタスクベース読み込みガイドで契約を引き当て、最大 3 問だけ意図を確認してから生成する。ボタン 1 個・カード 1 枚のようなコンポーネント単体の生成には使わない（DESIGN.md のクイックモードで足りる）。既存 HTML のレビューにも使わない（design-review skill が担当）。Votes: 0GitHub stars: 201
- Ban PatternRegister AI-generated-looking UI patterns as prohibited rules in the design system. Use when user says \"AIっぽい\", \"AI臭い\", \"これ禁止\", \"このパターンやめたい\", \"ban this pattern\", \"add to prohibited\", or points out a generic/cookie-cutter UI element.Votes: 0GitHub stars: 201
- ZskillsDeclarative package manager for agentic coding CLIs — manages skills, plugins, and MCP servers across user/project/local scopes via a single skills.toml manifest. Use when installing, removing, listing, syncing, or troubleshooting Claude Code plugins, Agent Skills, or MCP servers; when reconciling drift between settings.json and on-disk state; when bootstrapping a fresh machine; or when consolidating scattered configs from many projects into one global place.Votes: 0GitHub stars: 2
- WhyExplain why a piece of code exists by correlating it to the AI coding sessions behind it. Use when the user asks "why does this exist", "why did we write it this way", "what was the reasoning behind this line/file/commit", "who changed this and why", or points at a file, line, or commit and wants the rationale that git alone does not carry. Use PROACTIVELY before rewriting or removing code whose purpose is unclear — the deciding conversation may still be recoverable.Votes: 0GitHub stars: 38
- Weekly SummaryGenerate a comprehensive summary of AI coding sessions from the past week. Use when the user says "weekly summary", "what did I do this week", "summarize my week", "weekly recap", "week in review", or asks for a summary of recent work across projects.Votes: 0GitHub stars: 38
- StandupGenerate a quick standup summary of yesterday and today's AI coding sessions. Use when the user says "standup", "what did I do yesterday", "daily summary", "what have I been working on", or needs a quick recap for a standup meeting.Votes: 0GitHub stars: 38
- Session ReflectReflect on how you work with AI coding agents using sessions history. Use when the user says "reflect on my workflow", "why do I keep correcting the agent", or asks about prompting habits, supervision, workflow friction, or what makes delegation succeed. Produces sourced observations and experiments, not an activity recap or automatic memory updates.Votes: 0GitHub stars: 38
- Session MetricsShow usage metrics and analytics for AI coding sessions. Use when the user asks "how much have I been coding", "session stats", "show me metrics", "tool usage", "which tool do I use most", "active hours", or wants analytics about their AI coding tool usage.Votes: 0GitHub stars: 38
- RecallRecall what was done on a specific project or topic from past AI coding sessions. Use when the user says "what did I do on [project]", "recall [topic]", "history of [project]", "when did I last work on [thing]" — but also when they reference prior work without asking for history explicitly: "didn't we already fix this", "what was that approach we tried", "why did we do it this way", "what happened to [file/feature]". Use PROACTIVELY before re-deriving a decision or re-solving a problem a past...Votes: 0GitHub stars: 38
- MemoryTriage context-memory candidates mined from past AI coding sessions. Use when the user says "triage memory", "review memory", "mine memory", "/memory", or asks what durable facts their session history contains. Runs the mine, clusters paraphrased candidates, judges which facts generalize beyond the session they came from, and walks approve / reject / snooze, including marking standing constraints always-on and assigning project groups.Votes: 0GitHub stars: 38
- ContextLoad a context primer for the current repo before starting work. Use when the user says "what was I doing here", "catch me up on this repo", "context primer", "what's the open thread", "where did I/we leave off" — and PROACTIVELY when a session opens on work that clearly continues something ("keep going on the refactor", "finish the migration") or when resuming a codebase after a break. Past sessions carry the open thread, prior decisions, and abandoned approaches that code and git history do...Votes: 0GitHub stars: 38
- Webapp TestingToolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logsVotes: 0GitHub stars: 10
- Systematic DebuggingUse when encountering any bug, test failure, or unexpected behavior, before proposing fixesVotes: 0GitHub stars: 10
- Polyglot Test AgentGenerates comprehensive, workable unit tests for any programming language using a multi-agent pipelineVotes: 0GitHub stars: 10
- DiagnosePerform a systematic diagnostic scan of an AI workflow across 5 quality dimensions — prompt quality, context efficiency, tool health, architecture fitness, and safety — producing a scored report with prioritized remediation actionsVotes: 0GitHub stars: 10
- Using Streamlit Session StateUsing st.session_state to manage state across Streamlit rerunsVotes: 0GitHub stars: 10
- Using Streamlit MarkdownCovers all Markdown features in Streamlit including GitHub-flavored syntax plus Streamlit extensions like colored text, badges, Material icons, and LaTeXVotes: 0GitHub stars: 10
- Using Streamlit LayoutsUse when structuring a Streamlit page — columns, tabs, containers, expanders, and sidebar composition to control where elements render.Votes: 0GitHub stars: 10
- Using Streamlit Custom ComponentsUse when Streamlit's core API lacks a needed feature and a third-party community component may fill the gap — finding, installing, evaluating, and wiring up custom components.Votes: 0GitHub stars: 10
- Using Streamlit CliDocuments Streamlit CLI commands for running apps, managing configuration, and diagnosticsVotes: 0GitHub stars: 10