SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
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编码规范、框架、重构、代码审查(1.6万 个)
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
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MCP server optimization and transport layer enhancement for claude-flow v3. Implements connection pooling, load balancing, tool registry optimization, and performance monitoring for sub-100ms response times.
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AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.
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Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
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Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend).
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Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
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Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
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Comprehensive GitHub code review with AI-powered swarm coordination
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Turn a feature request into a minimal, file-level implementation plan before any code.
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設計判断失敗パターン研修用エージェント。受講者からのJava実装依頼に対し、表向きは誠実に実装しつつ、裏で失敗パターンを混入させる。タグ `[演習:NN]` `[演習:<slug>]` があれば指定パターンを1つ混入する。タグが無いときは適合度から3候補に絞って1つ選ぶか、一定割合で何も混入しないクリーン回にする。受講者が `reveal` または `答え合わせ` と返したときに結果(混入パターン、またはクリーン回であったこと)を開示する。受講者が `ヒント` と返したら、正解を明かさずに状況理解を促す段階ヒントを返す。reveal 後にコードを投げられたら採点せず、その修正で下がった軸・遷移コスト・残存リスクのいずれかがあれば異議を返し、どれも無ければ Pareto 改善として異議なしで終える。Java実装依頼を受けたら必ずこのスキルを発動すること。
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Suede AI code review and A-F ship grade for a diff, PR, branch, or commit range: findings ranked P0-P3 with file:line evidence and a fix path, an A-F grade across seven lanes with Instant-F security triggers and surface grade caps, OWASP 2025 checks, a deploy-safety gate, a commit-dirt scan, and fix briefs. Three modes: full review and grade in one pass (default), findings only with no grade, and grade only with no findings list. Use when asked to review this, grade this, find the bugs before merge, security-check this, is this safe to ship, give it a letter, or should this merge. Runs only when explicitly invoked; never auto-fires on a diff, save, or commit. NOT FOR: making CI enforce the verdict on every merge (use suede-ci-gate); LLM, RAG, or agent behavior coverage (use suede-ai-eval); searching competing plans and building a multi-file change (use suede-graph-flo-xr); fixes that need coordinated parallel lanes (use suede-agent-teams).
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Build applications with React Router in Framework, Data, Declarative, and unstable RSC modes. Use when configuring routes, route modules, loaders, actions, forms, fetchers, navigation, pending UI, SSR/SPA/pre-rendering, middleware, URL params/search params, or React Router upgrades.
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Build full-stack React applications using React Router's framework mode. Use when configuring routes, working with loaders and actions, handling forms, handling navigation, pending/optimistic UI, error boundaries, or working with react-router.config.ts or other react router conventions.
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Create a new conversation for this user with the bundled aioncore CLI. Use when the user asks to open, start, or spin up a new conversation.
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Render Mermaid diagrams as SVG or ASCII art using beautiful-mermaid. Use when users need to create flowcharts, sequence diagrams, state diagrams, class diagrams, or ER diagrams. Supports both graphical SVG output and terminal-friendly ASCII/Unicode output.
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Repository quality gates for Rust and generated artifacts. Use when validating changes locally or before committing Rust, schema, or documentation updates.
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Guide for writing Rust doc comments that produce accurate generated contract documentation. Use when editing Instantiate/Execute/Query/Response types or any public schema-facing API.
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Animate objects, cameras, lights, and properties in Blender — keyframes, F-curves, easing (Bezier, Linear, Sine, Bounce, Elastic), shape keys (morph targets / blendshapes / visemes), drivers (Python expressions on properties), NLA actions for reuse and layering. Use whenever the user asks to "animate this", "make it move / rotate / scale over time", "add keyframes", "loop / oscillate", "shape key / morph / blendshape", "visemes for lip sync", or any time-based property change. Make sure to use this skill even if the user does not say "animate" — also covers "spin it slowly", "make it wave", "fade in / out", "pulse", "facial expression".
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Drive Blender from natural language: create or edit 3D models, materials, lighting, cameras, renders, animation, and exports through Blender MCP. Route complete scenes to domain skills and wireframe/reference requests to reconstruction skills. Also use for 3D requests that do not name Blender. Requires a configured official or ahujasid MCP backend.
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Interact with GitHub repos, PRs, issues, CI, and notifications via the pi-github extension commands and gh CLI. Use when asked to check PRs, list issues, view repo status, check CI, browse notifications, create or merge PRs, fix PR review feedback, or perform any GitHub operation. **Triggers:** "open PRs", "repo status", "CI status", "merge PR", "fix PR", "fix PRs", "fix review feedback", "create PR", "GitHub notifications", any /gh-* command, or when a GitHub PR URL is shared.
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Generate comprehensive status reports for git repositories. Analyzes commits, codebase structure, type errors, branch health, dependency status, GitHub PRs/issues/CI, working tree changes, and optionally integrates with `td` (task management CLI) if a `.todos` folder is present. **TRIGGERS - Use this skill when:** - User asks for the status of a git project or repo - User asks "what's going on in [project]" or "give me an overview of [repo]" - User wants a project summary, progress report, or codebase overview - User asks about recent commits, code structure, or project health - User says "check my project" or "project status" **Output:** A rich, structured text report covering overview, branches, commit history, codebase breakdown, GitHub activity, dependency health, issues/errors, working tree changes, task management, and summary.
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Generate and maintain AI-readable markdown documentation for a codebase in docs/. Use this skill whenever the user asks to document their codebase, generate project docs, create architecture docs, update documentation after code changes, build a knowledge base for AI agents, create onboarding docs, map out a codebase, or explain a project structure. Also trigger when users say things like "document this repo", "create docs for my project", "update the docs", "write architecture documentation", "help AI understand my code", "generate a codebase overview", or "maintain docs". This skill is specifically about creating structured markdown files in a docs/ directory that serve as a knowledge base — NOT about writing inline code comments, README files, or API reference docs from docstrings.
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Track and manage projects with git status via dashboard and tool.
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Switch working context to a project. Loads AGENTS.md, git status, and td issues.
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