Skills
96,770 packaged capabilities and playbooks for agents. Install any of them with one command.
Agent workflows
Build agentic applications with GitHub Copilot SDK. Use when embedding AI agents in apps, creating custom tools, implementing streaming responses, managing sessions, connecting to MCP servers, or creating custom agents. Triggers on Copilot SDK, GitHub SDK, agentic app, embed Copilot, programmable agent, MCP server, custom agent.
Offer a choice of response depth (25%/50%/75%/100%) with token estimates before answering, then answer at that level. Use when the user asks to control response length or token budget, such as 'token budget', 'short version', 'brief answer', 'respuesta corta vs larga', 'cuántos tokens', 'ahorrar tokens', 'responde al 50%', 'dame la versión corta', 'quiero controlar cuánto usas'. Skip if depth is already set this session or 'token' means an auth/payment token.
INVOKE THIS SKILL when building, testing, or deploying Managed Deep Agents in LangSmith. Walks a user through their first agent end to end — interviewing them about what they want to build, mapping it onto what MDA can actually do, then scaffolding and deploying it. Covers the file-based project layout; define_deep_agent / defineDeepAgent; instructions, skills, memory, identity, tools, MCP servers, connections, middleware, sandboxes, schedules, channels, and evals; the mda CLI; GitHub deployments; and Context Hub.
Guard against destructive operations with three modes: Careful intercepts dangerous commands (rm -rf, git push --force, DROP TABLE) for confirmation, Freeze locks writes to one directory, and Guard combines both. Advisory: the agent applies these rules itself; no hook ships with it. Use when working on production systems, running agents autonomously, restricting edits to a directory, or during migrations, deploys, and data changes.
You MUST invoke this skill before saying “I don't know,” guessing, or treating any topic as new, no matter how trivial the question seems. It supplements other memory systems, which only hold partial records. Searching past conversations is the only way to recover what was actually said.
Shared execution protocol for the Alibaba Cloud Bailian `bl` family (consent confirmation, version preflight, authentication/installation, error reporting, local file and output conventions). Not a business entry point for user intent; read this skill when any bailian-* business skill (bailian-cli / bailian-gen / bailian-finetune / bailian-managed-agent / bailian-sandbox / bailian-memory / bailian-web-search) needs shared context before execution, or when a user's first-time installation/authentication/`bl` error needs reporting. Official installation is bundled: `bl skill init` (installed together with the business skill).
Declarative infrastructure and API command entry point for Alibaba Cloud Bailian managed Agents: use `bl managed-agent` to create an agent, initialize agents.yaml, validate or preview configuration changes, create/update/destroy a managed Agent or Deployment, edit and debug directory projects in Workbench, manage local snapshot versions, query Agent/Environment/Skill/Vault/Deployment/Memory Store, manage Session/Event/File/Webhook/memory content and versions, or run/pause a Deployment. Agent/Environment/Skill/Vault/Deployment/Memory Store remain IaC with agents.yaml as the single source of truth; Webhook uses a workspace API that requires no project files. Public API capabilities expose list/get/search/versions/download, data-plane and runtime action commands by resource. apply / destroy and destructive API commands are protected by a unified high-risk confirmation gate; always show a preview before asking the user to confirm, and never add `--yes` automatically. Non-triggers: use bailian-app-call or `bl app` to call a deployed Bailian app/agent; this skill does not cover the host agent's own memory, skills, or subagents; use bailian-gen for image and video generation. Official installation: `bl skill init` (installed together with the shared protocol bailian-protocol).
Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk, X Layer through OKX Payments / OKX Agent Payments Protocol, and Solana plus multi-network EVM through the upstream x402 packages with facilitator-based settlement. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.
Persistent per-project memory for Claude Code (Context Keeper) driven by deterministic Node.js /ck commands: init, save, resume, info, list, forget, and v1-to-v2 migrate, plus a SessionStart hook that injects a compact project brief. Use when context must survive across sessions, saving session state with next steps and decisions, resuming where a previous session left off, or picking up a project without re-explaining it.
Create agent skills for Microsoft technologies using Learn MCP tools. Use when users want to create a skill that teaches agents about any Microsoft technology, library, framework, or service (Azure, .NET, M365, VS Code, Bicep, etc.). Investigates topics deeply, then generates a hybrid skill storing essential knowledge locally while enabling dynamic deeper investigation.
AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.
Use this skill when the user asks to “search memory,” “what do you remember about X,” “check claude-mem,” “mem search,” “find past observations,” “what did we do last session,” or wants context from a prior session about a project, decision, file, or task. Searches the user's Claude-Mem (cmem.ai) memory.
Automatically bridge an individual Skill or a collection of Skills to general Agents, Claude Code, Codex, WorkBuddy, Grok, Hermes Agent, Kiro, Qwen Code, Cline, and other Agents. Use when the user asks to install, sync, view, deduplicate, or unlink Skills across Agents.
Explain what a Cargo run or batch actually did, after the fact — trace one run node by node, draw the graph it executed with the failing step marked, sweep a batch or play for errors grouped by root cause, and attribute credit spend down to the node and the provider. Triggers: "why did this fail", "it succeeded but the output is wrong", "half my rows are empty", "why is this column blank", "what broke in this batch", "why did that cost so much", "which node is burning credits", "it worked yesterday", "these results look wrong", "it went down the wrong path", "this step never ran", "show me what the run did". Skip when: setting up an alert for next time — use cargo-observability; just downloading the data — use cargo-analytics.
Security patterns for autonomous trading agents with wallet or transaction authority. Covers prompt injection, spend limits, pre-send simulation, circuit breakers, MEV protection, and key handling. Use when an autonomous agent holds wallet or transaction authority and its limits, simulation, or key handling need review.
Forge a complete lobster soul concept for an OpenClaw AI Agent. Based on user preferences or a random draw, produce an identity, soul description (SOUL.md), role-specific ground rules, a name, and an image-generation prompt for an avatar. If the current environment provides an approved image-generation skill, it can automatically generate an avatar image in a consistent style. Use when creating, designing, or customizing an OpenClaw lobster persona. Not suitable for: fine-tuning an existing SOUL.md, character design for non-OpenClaw platforms, or purely functional Agents without a personality. Triggers: lobster soul, shrimp soul, OpenClaw soul, raising-shrimp soul, lobster character, lobster positioning, lobster murder-mystery role, lobster game character, lobster NPC, lobster personality, lobster backstory, lobster soul, lobster character, gacha, random lobster, lobster SOUL, gacha. Use when creating, designing, or customizing an OpenClaw lobster persona — identity, SOUL.md, name, or avatar prompt.
A micro-prompt that reminds the agent that it is an interactive programmer. Works great in Clojure when Copilot has access to the REPL (probably via Backseat Driver). Will work with any system that has a live REPL that the agent can use. Adapt the prompt with any specific reminders in your workflow and/or workspace.
Technology-agnostic blueprint generator for creating comprehensive copilot-instructions.md files that guide GitHub Copilot to produce code consistent with project standards, architecture patterns, and exact technology versions by analyzing existing codebase patterns and avoiding assumptions.
Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.
GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper. Use when a feature should be built autonomously through generator and evaluator iteration until it clears a quality bar.
Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.
Migration and code evolution instructions generator for GitHub Copilot. Analyzes differences between two project versions (branches, commits, or releases) to create precise instructions allowing Copilot to maintain consistency during technology migrations, major refactoring, or framework version upgrades.
Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'. Use when a private project must be forked, stripped of secrets, and packaged for public release.
Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.
Suggest relevant GitHub Copilot skills from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing skills in this repository, and identifying outdated skills that need updates.
Create new Agent Skills for GitHub Copilot from prompts or by duplicating this template. Use when asked to "create a skill", "make a new skill", "scaffold a skill", or when building specialized AI capabilities with bundled resources. Generates SKILL.md files with proper frontmatter, directory structure, and optional scripts/references/assets folders.
Technology-agnostic prompt generator that creates customizable AI prompts for scanning codebases and identifying high-quality code exemplars. Supports multiple programming languages (.NET, Java, JavaScript, TypeScript, React, Angular, Python) with configurable analysis depth, categorization methods, and documentation formats to establish coding standards and maintain consistency across development teams.
Use this skill when the user wants to create a Model Context Protocol (MCP) server in Java or in a Spring Boot app. Also use it when the user wants AI agents, such as GitHub Copilot or Claude, to use Java code, an API, or a database. Use it even if the user does not say "MCP". The skill makes a Maven or Gradle project with the MCP Java SDK 2.x, tools, JUnit tests, and client configuration. Do not use it for Quarkus/Quarkiverse MCP servers (use the `quarkus-mcp-server-sse` instruction), for an MCP client or for a server in another language
Manages and orchestrates prompts in Agent Platform. Use when you need to create, list, retrieve, version, or delete managed prompts in Agent Platform. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform prompts.
Use this skill when someone wants to learn GitHub Copilot CLI from scratch. Offers interactive step-by-step tutorials with separate Developer and Non-Developer tracks, plus on-demand Q&A. Just say "start tutorial" or ask a question! Note: This skill targets GitHub Copilot CLI specifically and uses CLI-specific tools (ask_user, sql, fetch_copilot_cli_documentation).
Curated prompt and usage examples for research, portfolio review, quote requests, approval-gated drafts, NFT discovery, prediction-market analysis, and assistant workflows. Emphasis is review-first, trust-boundary-aware use of external data, and explicit confirmation before any value-moving action. Use when the user wants example prompts, phrasing guidance, or sample requests for end-user EmblemAI tasks.
Suggest relevant GitHub Copilot Custom Agents files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing custom agents in this repository, and identifying outdated agents that need updates.
Suggest relevant GitHub Copilot instruction files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing instructions in this repository, and identifying outdated instructions that need updates.
Before starting any developer-platform, public-API, or integration work — or whenever no other platform skill has been chosen — route the task to the right skill in samber/developer-platform-skills, or say plainly that none fits, then bootstrap or resume the project's shared platform context. Fires at every API or platform project start, at each recurring platform review, and whenever routing is unclear. Use whenever the user mentions a developer platform kickoff, a new public API program, an integration-surface roadmap, "which platform skill do I need", "where do I start with our public API", platform skill routing, or a recurring platform check-in — even if they never name a skill or ask to be routed. It spans REST, GraphQL and gRPC design, webhooks, SDKs, MCP, OAuth and API keys, rate limits, versioning, developer portals, docs, sandboxes, marketplaces, and partner strategy, so an ambiguous platform question belongs here first. Outputs a short-list and an ordered skill chain, never the design itself.
One-shot user management for apps, multi-chain wallet authentication, an AI-powered assistant, and AI app introspection. Use when the user wants to let website users sign in with wallets, email/password, or social login and give each user a wallet-enabled account, then embed EmblemAI chat surfaces, connect plugins, or add Reflexive observability. Provides React components, TypeScript SDKs, session-based authentication, and pointers to the React and agent-wallet skills for specialized workflows.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.