Agent Workflow Claude Skills
4 121 agent workflow skills from 665 authors. They configure the agents themselves: memory, prompts, context and other skills. Half of them fit into 1 845 tokens or less — that is what one costs your context window when the agent loads it. 778 ship runnable scripts rather than instructions alone. 5 of them cannot work without an MCP server, most often task. We also found 541 copies of these same skills sitting in other people's repositories — counted once here, not 541 times.
4 121 unique 665 authors 2 767 updated this month 506 from vendors
DEPRECATED: Use /copilot-studio:chat-with-agent instead — it auto-detects DirectLine vs M365 mode. This skill is kept for backwards compatibility only.
Edit an existing action (TaskDialog) in a Copilot Studio agent. Supports connector actions and MCP server actions. Modify inputs, outputs, descriptions, connection mode, and other properties.
> Shared project context for all Copilot Studio sub-agents. Provides project structure, schema lookup usage, and skill invocation guidance.
Edit Copilot Studio agent settings, instructions, or configuration. Use when the user asks to change agent instructions, display name, conversation starters, AI settings, or generative actions toggle.
Pattern library for Copilot Studio agent design. Contains proven and recommended implementation patterns with YAML examples. Used by the Advisor agent to suggest patterns and by the Author agent to reference YAML structure during implementation. USE FOR: design guidance, pattern suggestions, review against best practices, troubleshooting known pitfalls, YAML reference during implementation. DO NOT USE FOR: general YAML schema reference (use int-reference), topic creation mechanics (use new-topic).
Push/pull Copilot Studio agent content via the VS Code extension's LanguageServerHost LSP binary. Handles authentication (interactive browser login for push/pull, device code flow for chat token), sync push, sync pull, clone, and diff operations.
Create a new Copilot Studio topic YAML file. Use when the user asks to create a new topic, conversation flow, or dialog for their agent.
> Run evaluations against a Copilot Studio agent via the Power Platform Evaluation API. Works on DRAFT agents — no publish step required. Lists test sets, starts a run, polls until complete, fetches results, and proposes YAML fixes for failures. Use when the user wants to test agent changes without publishing.
Validate Copilot Studio agent YAML files using the LSP binary's full diagnostics (YAML structure, Power Fx, schema, cross-file references). Use when the user asks to check, validate, or verify YAML files.
> Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
Builds AI-native products using Dan Shipper's 5-product playbook and Brandon Chu's AI product frameworks. Use when implementing prompt engineering, creating AI-native UX, scaling AI products, or optimizing costs. Focuses on 2025+ best practices.
Generated counterexample containing direct instruction override attempts
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.
Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).
Analyze the current or a recent agent session (GitHub Copilot CLI or Claude Code) and generate a diagnostic report. Use when asking for session feedback, debugging agent behavior, or reviewing what happened during a build session.
Extract structured data from clinical notes with span-level provenance and null-safety. Use when users say "extract [variables] from this note", "abstract this chart", "pull structured data from these notes", "what does this note say about [field]", or when building a chart-abstraction, registry, or cohort dataset from unstructured clinical text.
Drive the contracts engine's runtime surface (the stdio MCP server) to verify changes end-to-end. Scoped to public-plugins/plugins/healthcare/skills/contracts/ and ../../servers/documents/.
Design and operate task delegation systems for multi-agent fleets. Covers workload distribution, load balancing, queue management, priority scheduling, and dynamic agent scaling for production agent systems.
Design robust error recovery, retry logic, and fallback strategies for production AI agents. Covers transient failure handling, circuit breakers, exponential backoff, state recovery, graceful degradation, and dead-letter queues for agent systems.
Lightweight personal knowledge base — markdown + YAML frontmatter structured notes with full-text search and cross-referencing for AI agents
Implement comprehensive audit logging and reporting for multi-agent systems. Covers event capture, structured logging, traceability, compliance reporting, forensic analysis, and real-time monitoring dashboards for agent actions and decisions.
Design and operate memory systems for long-running AI agents. Covers context window optimization, summarization strategies, vector-based retrieval, episodic memory, memory consolidation, and garbage collection for production agent systems.
Comprehensive guide to designing, building, and operating AI agents. Covers agent architecture, tool use patterns, memory systems, orchestration strategies, planning approaches, error recovery, and safety guardrails for production-grade agent systems.
Design and implement agent-to-agent handoff protocols for multi-agent systems. Covers context passing, escalation patterns, handshake mechanisms, conversation continuity, and routing between specialized agents in production workflows.
Manage prompt versions, run A/B tests across agent prompts, track performance regressions, and safely roll out prompt changes in production. Covers prompt diffing, semantic versioning, canary releases, and automated evaluation.
Master the art and science of crafting effective prompts for large language models. Covers foundational patterns, advanced techniques like chain-of-thought and role prompting, structured output formats, and practical strategies for iterative refinement.
>- Assess worker classification and compliance risk for temporary event staffing in the US and Canada. Use when a user asks about W-2 vs 1099 event workers, misclassification penalties, joint-employer liability, COI requirements, or wage/hour rules for event staff. Includes live state-by-state lookups via the TempGuru MCP server.
A structured reflection engine that generates daily standup prompts, journaling questions, and weekly retrospectives for solopreneurs, freelancers, and remote teams. Helps build momentum, surface blockers, and track progress without the overhead of a manager.
Headless Amazon assistant — cookie-based session reuse to search, compare, sort, manage cart, track orders, surface deals, and analyze spending across amazon.in / amazon.com / amazon.co.uk / amazon.de / amazon.co.jp / etc. Checkout is prepare-and-handoff: the skill builds the cart and opens the final checkout URL; the user clicks Place Order.
Open the Cross-Code Organizer (CCO) dashboard — view and manage all memories, skills, MCP servers, hooks, and configs across scopes
Prune bloated session with a prescription. Removes progress ticks, stale reads, duplicate content, and more.
> Protect Claude Code sessions from context overflow by running a background daemon that monitors session size and auto-prunes before compaction hits. Use when the user says "guard", "protect session", "context getting long", "prevent compaction", "session management", or is running agent teams that need continuous context protection.
Analyze Claude Code session bloat — shows token count, context usage %, and bloat breakdown. Use when the user asks about session size, context usage, or when you notice the context window is getting full.
Run health checks on Claude Code configuration and sessions. Use when troubleshooting Claude Code issues. (cozempic — does not shadow Claude Code's built-in /doctor)
A skill with potentially flaky behavior for testing retry
Create, run, diagnose, and iteratively improve Agent Skill evaluations (evals) with the skill-up CLI / 使用 skill-up CLI 创建、运行、诊断并持续改进 Agent Skill 评测. Use when the user asks to evaluate, test, regress, verify, fix, improve, iterate, or evolve a Skill; add or strengthen eval cases; write eval.yaml/case.yaml; run skill-up run/validate/list-cases/report/import/init; or migrate from Anthropic evals.json. Handles Skill discovery, eval scaffolding, judge authoring, validation, runs, reports, and evidence-based repair loops.
IWSDK experience pipeline and planning guide. Use when building a new IWSDK app/game end-to-end, planning new IWSDK features, designing systems/components, reviewing IWSDK code architecture, or when the user asks about IWSDK patterns, ECS design, signals, or reactive programming. Runs a phased ideation → design → grounding → architecture → build → verify → ship pipeline, orchestrating sub-agents per phase where the harness supports them.
Build AI agents with tools, memory, and multi-step reasoning - ChatGPT, Claude, Gemini integration patterns
Access 1200+ AI Agent tools via Model Context Protocol (MCP)
> This skill should be used when the user wants to file their tax return electronically via the 確定申告書等作成コーナー (NTA Tax Return Preparation Corner) using Claude in Chrome, Antigravity Browser Sub-Agent, or Playwright CLI (fallback). It guides the "e-Tax提出", "電子申告", "e-Taxで申告", "作成コーナーに入力", "確定申告書等作成コーナー", "作成コーナー", "申告書を提出".
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Use when executing implementation plans with independent tasks in the current session
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
> Generates Behave BDD tests for Python with Gherkin feature files and step implementations. Use when user mentions "Behave", "Python BDD", "Python feature file".
> Generates Cucumber BDD tests with Gherkin feature files and step definitions in Java, JavaScript, or Ruby. Use when user mentions "Cucumber", "Gherkin", "Gherkin", "BDD", "Feature file", "Given/When/Then", "step definitions".
> Generates Jasmine tests in JavaScript. BDD-style framework with spies and async support. Use when user mentions "Jasmine", "jasmine.createSpy", "Jasmine spec".
> Generates Lettuce BDD tests for Python with feature files and step definitions. "lettuce BDD".