Agents
1,401 skills.
Browse
yao-meta-skillyaojingangCreate, improve, or evaluate an existing skill from workflows, prompts, SOPs, scripts. Use for migration/release/package, routing, evals/tests, install/trust checks, 优化已有 skill, 补 trigger 评测. Exclude summary/translation/docs, brainstorming, one-off prompts, copy-only edits, outline-only requests.askyeachan-heoProcess-first advisor routing for Claude, Codex, Gemini, Antigravity, Grok, or Cursor via `omc ask`, with artifact capture and no raw CLI assemblyautopilotyeachan-heoFull autonomous execution from idea to working codeautoresearchyeachan-heoStateful single-mission improvement loop with strict evaluator contract, markdown decision logs, and max-runtime stop behaviorcancelyeachan-heoCancel any active OMC mode (autopilot, ralph, ultragoal, swarm, ultrapilot, pipeline, team) and clean up retired legacy stateexternal-contextyeachan-heoInvoke parallel document-specialist agents for external web searches and documentation lookupralphyeachan-heoSelf-referential loop until task completion with configurable verification reviewerrememberyeachan-heoReview reusable project knowledge and decide what belongs in project memory, notepad, or durable docsself-improveyeachan-heoAutonomous evolutionary code improvement engine with tournament selectionskillifyyeachan-heoTurn a repeatable workflow from the current session into a reusable OMC skill draftteamyeachan-heoN coordinated agents on shared task list using Claude Code implicit agent teamstraceyeachan-heoEvidence-driven tracing lane that orchestrates competing tracer hypotheses in Claude built-in team modegrepai-chunkingyoanbernabeuConfigure code chunking in GrepAI. Use this skill to optimize how code is split for embedding.grepai-embeddings-lmstudioyoanbernabeuConfigure LM Studio as embedding provider for GrepAI. Use this skill for local embeddings with a GUI interface.grepai-embeddings-openaiyoanbernabeuConfigure OpenAI as embedding provider for GrepAI. Use this skill for high-quality cloud embeddings.grepai-mcp-claudeyoanbernabeuIntegrate GrepAI with Claude Code via MCP. Use this skill to enable semantic code search in Claude Code.grepai-mcp-cursoryoanbernabeuIntegrate GrepAI with Cursor IDE via MCP. Use this skill to enable semantic code search in Cursor.grepai-mcp-toolsyoanbernabeuReference for all GrepAI MCP tools. Use this skill to understand available MCP tools and their parameters.grepai-ollama-setupyoanbernabeuInstall and configure Ollama for local embeddings with GrepAI. Use this skill when setting up private, local embedding generation.memoryyonatangrossRead-side memory operations on the knowledge graph: search past decisions and patterns, load session context, view decision timelines, render Mermaid graph visualizations. Subcommands: search, load, history, viz, status. Use when finding or reviewing what memory already holds. For storing new knowledge instead, invoke remember; for retrieval internals, memory-fabric; for cleanup, dream.skill-builderyusufkaraaslanAutomatically 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.gitlab-mcp-skillzereightUse this skill when working with the GitLab MCP server tools for merge requests, issues, repositories, pipelines, work items, variables, dependency proxy, vulnerabilities, webhooks, search, CI catalog, and related GitLab workflows.auto-triggerzhaono1Workflow hook metadata for agent-playbook skills. This skill documents trigger intent between skills - DO NOT use directly, and do not assume hooks execute unless the host runtime explicitly supports them.long-task-coordinatorzhaono1Coordinates multi-session, delegated, or long-running work with persistent state, recovery checks, and explicit status transitions. Use when a task spans multiple turns, multiple agents, background jobs, or scheduled loops, or when interrupted work must be resumed reliably.session-loggerzhaono1Save a bounded, redacted session summary when the user asks to record a conversation or when a supported host provides an explicit session-end transcript event.skill-routerzhaono1Routes an agent request to the narrowest matching portable skill when the user asks which skill to use or needs help selecting one across supported hosts.workflow-orchestratorzhaono1Coordinates multi-skill workflows and records or runs follow-up actions when the host runtime supports them. Use when completing PRD creation, implementation, or any milestone that should be evaluated for additional skills.aws-agentic-aizxkaneAWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale. Use when working with any AgentCore service including Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, or Evaluations. Covers agent deployment, MCP tool integration, credential management, agent discovery, governance workflows, and automated quality assessment. Essential when user mentions AgentCore, agent runtime, agent registry, agent evaluation, MCP gateway, daws-mcp-setupzxkaneConfigure AWS MCP servers for documentation search and API access. Use when setting up AWS MCP, configuring AWS documentation tools, troubleshooting MCP connectivity, or when user mentions aws-mcp, awsdocs, uvx setup, or MCP server configuration. Covers both Full AWS MCP Server (with uvx + credentials) and lightweight Documentation MCP (no auth required).dbs-chatroom-austriandontbesilent202523K由哈耶克、米塞斯与 Claude 从奥派经济学视角展开多角色讨论。用户要求进入奥派聊天室或用奥派分析问题时使用。msw-searchmsw-git7.9KMSW search integration — (1) vector search for API docs and implementation guides via the msw-mcp MCP server (mlua_api_retriever / mlua_document_retriever), (2) REST API search for resources (sprite / animation / sound / resource pack / avatar). Use for 'find details, examples, or related APIs not in .d.mlua', 'need a SpriteRUID', 'monster sprite', 'background image', 'find a sound', 'avatar item lookup', etc. Keywords: document search, API details, examples, guide, retriever, resource, sprite, discernment-nudgeanthropics7.4KAfter you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails, estimates or projections, analysis or interpretation of data, factual claims they may rely on, or a multi-step argument — invoke this skill BEFORE finalizing your reply and then, if it applies, append 2-3 short follow-up questions, each tied to something specific in what you just produced, that help the user check key facts, proaiconfig-createlaunchdarkly2.8KDEPRECATED redirect — this skill was renamed to configs-create. Do not use this skill; invoke configs-create instead. Kept only so old references to aiconfig-create still point users to the new name.aiconfig-custom-metricslaunchdarkly2.5KDEPRECATED redirect — this skill was renamed to custom-metrics. Do not use this skill; invoke custom-metrics instead. Kept only so old references to aiconfig-custom-metrics still point users to the new name.loop-libraryforward-future2.4KCompatibility alias for Loopy. Use only when an existing installation or older instruction explicitly invokes loop-library; use Loopy for new installations and requests. Provides the same discovery, recommendation, audit, repair, adaptation, guided crafting, bounded execution, run debrief, project loop saving, and publication-preparation workflows.om-auto-fix-issueopen-mercato2.2KFix or implement a tracker issue end to end from a single command — takes an issue id or a plain problem description (filed first via om-prepare-issue), classifies, then drives the bug autofix chain (om-verify-in-repo, om-root-cause, om-fix, om-open-pr, om-auto-review-pr, om-auto-qa-pr for UI fixes) or the feature route (spec via om-auto-write-spec, built via om-auto-implement-spec). Isolated worktree, claim protocol, clean stops. Use for "fix issue 123" or a pasted problem description.bmod-methodbmad-code-org1.5KRequired bmod metadata. Never invoke this skill.ctx-insightmksglu1.3KOpen the context-mode Insight dashboard in your default browser. Insight is the hosted analytics layer for AI-assisted engineering teams — per-engineer productive rate, retry waste, blocker detection, role-narrowed views. Trigger: /context-mode:ctx-insightregex-vs-llm-structured-textaffaan-m構造化テキストの解析に正規表現と大規模言語モデルのどちらを使うかを選択するための意思決定フレームワーク——まず正規表達式から始め、信頼度の低いエッジケースにのみ大規模言語モデルを追加する。token-budget-advisoraffaan-m回答する前に、どれだけの回答深度を消費するかについてユーザーに情報に基づいた選択を提供する。ユーザーが回答の長さ、深さ、またはトークンバジェットを明示的に制御したい場合にこのスキルを使用する。トリガー条件:"token budget", "token count", "token usage", "token limit", "response length", "answer depth", "short version", "brief answer", "detailed answer", "exhaustive answer", "respuesta corta vs larga", "cuántos tokens", "ahorrar tokens", "responde al 50%", "dame la versión corta", "quiero controlar cuánto usas"、またはユーザーが回答のサイズや深さの制御を明示的に求めるその他の明確なバリエーション。トリガーしない条件:ユーザーが現在のセッションでレベルを指定済み(そのレベルを維持)、リクエcavemanalirezarezvaniUltra-compressed communication mode. Cuts token usage ~75% by dropping filler, articles, and pleasantries while keeping full technical accuracy. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman.parallel-task-sparkam-willOnly to be triggered by explicit /parallel-task-spark commands.super-swarm-sparkam-willOnly to be triggered by explicit super-swarm-spark commands.btca-localdavis7dotshInvoke this skill when the user says "use btcaanalyzing-mlflow-tracemlflowAnalyzes a single MLflow trace to answer a user query about it. Use when the user provides a trace ID and asks to debug, investigate, find issues, root-cause errors, understand behavior, or analyze quality. Triggers on "analyze this trace", "what went wrong with this trace", "debug trace", "investigate trace", "why did this trace fail", "root cause this trace".router-first-architectureparcadeiRouter-First Architectureagent-agentic-paymentsruvnetAgent skill for agentic-payments - invoke with $agent-agentic-paymentsagent-app-storeruvnetAgent skill for app-store - invoke with $agent-app-storeagent-data-ml-modelruvnetAgent skill for data-ml-model - invoke with $agent-data-ml-modelagent-v3-performance-engineerruvnetAgent skill for v3-performance-engineer - invoke with $agent-v3-performance-engineer
