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
> move agents with NavMeshAgent.SetDestination, and handle dynamic obstacles. Use when setting up pathfinding, making an enemy chase the player, baking navigation, or when the user mentions NavMesh, NavMeshAgent, NavMeshSurface, NavMeshObstacle, or Unity pathfinding.
Copies track content (lyrics, style prompts, streaming lyrics) to the system clipboard. Use when the user needs to paste lyrics or style prompts into Suno or other external tools.
Shows available skills, common workflows, and quick reference for the plugin. Use when the user asks for help, what skills are available, or how to do something.
Runs plugin health checks (venv packages, skill registration, and album slug collisions). Use when the user asks to check plugin health, verify setup, or troubleshoot missing skills.
Runs the session startup procedure - verifies setup, loads config and state, checks skill models, and reports project status. Use at the beginning of a fresh session.
Detects your Python environment and guides you through installing plugin dependencies. Use on first-time setup or when MCP server fails to start.
Constructs technical Suno V5/V5.5 style prompts, selects genres, and optimizes generation settings. Use when creating or refining Suno prompts for track generation.
Propose a turbo skill improvement upstream by filing a GitHub issue against the turbo repo. Use when the user asks to \"contribute to turbo\", \"submit turbo changes\", \"contribute back\", \"suggest a turbo improvement\", or \"upstream my changes\".
Write a handoff file at .turbo/handoff/<YYYY-MM-DD>-<slug>.md capturing current session state — task, status, open decisions, in-flight changes, next step — so a fresh session can continue without re-deriving context. Use when the user asks to \"create a handoff\", \"create handoff\", \"save handoff\", \"handoff before compact\", \"save session state\", \"handoff for next session\", or \"capture session state\".
Create a new skill or update an existing skill that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations. Use when the user asks to \"create a skill\", \"make a new skill\", \"build a skill\", \"scaffold a skill\", \"write a skill for...\", or \"new skill that does...\".
Scans an existing codebase and generates project-specific skills that capture inferred conventions such as naming, file organization, framework usage, data access, error handling, and testing style. Writes into the project's chosen skill directory (e.g., `.claude/skills/`, `.agents/skills/`, or a custom path). Use when the user asks to \"extract skills from the codebase\", \"create project skills\", \"infer project conventions as skills\", \"codify patterns as skills\", or \"mine the repo for best practices\".
Decompose a specification file into shells with YAML frontmatter. Each shell captures the wiring invariants (Produces, Consumes, Covers) and high-level Implementation Steps without committing to file paths. Use when the user asks to \"draft shells\", \"create shells\", \"break spec into shells\", \"decompose spec into sessions\", \"draft shells from spec\", \"generate shells from spec\", or \"make shells from spec\".
Validate improvements from .turbo/improvements.md, recommend a working set tailored to what's in the backlog, and run one lane: direct fixes, investigation, or planned work. One lane per session. Use when the user asks to \"implement improvements\", \"work on improvements\", \"address improvements\", \"process improvement backlog\", \"tackle improvements\", or \"implement noted improvements\".
Developer onboarding guide that composes architecture mapping, tooling review, and agentic setup review with setup, troubleshooting, and next-steps agents to produce a comprehensive guide at .turbo/onboarding.md and .turbo/onboarding.html. Use when the user asks to \"onboard me\", \"onboard to this project\", \"generate onboarding guide\", \"new developer guide\", \"how do I get started\", or \"help me ramp up\".
Migrate legacy files in .turbo/ to current formats. Covers plans and shells (layout split, frontmatter normalization, prompt-plan index cleanup) and improvements.md (legacy `trivial`/`standard` Type values rewritten to `direct`/`plan`). Use when the user asks to \"migrate turbo files\", \"migrate turbo\", \"migrate turboplans\", \"migrate turbo plans\", \"upgrade plan format\", \"add frontmatter to plans\", \"convert old plans\", or \"migrate improvements\".
Recall the reasoning behind a past change by locating the Claude Code transcript that produced it. Use when the user asks to \"recall reasoning\", \"find reasoning\", \"look up reasoning\", \"recall implementation reasoning\", \"find the rationale\", \"why did I do X\", \"recall from transcripts\", or \"find the transcript for this commit\".
Detect agentic coding infrastructure in a project: CLAUDE.md, AGENTS.md, installed skills, MCP servers, hooks, and cross-tool compatibility (Claude Code and Codex CLI). Returns structured findings about agentic readiness without applying changes. Use when the user asks to \"review agentic setup\", \"check agentic setup\", \"agentic readiness\", \"is this project set up for AI coding\", or \"review AI coding setup\".
Extract lessons from the current session and route them to the appropriate knowledge layer (project AGENTS.md, auto memory, existing skills, or new skills). Use when the user asks to \"self-improve\", \"distill this session\", \"save learnings\", \"update CLAUDE.md with what we learned\", \"capture session insights\", \"remember this for next time\", \"extract lessons\", \"update skills from session\", or \"what did we learn\".
Run the code and documentation simplification passes together over one scope, launching every review agent concurrently before applying a single round of fixes. Use when the user asks to \"simplify all\", \"simplify everything\", \"simplify code and docs\", \"clean up code and docs\", \"run both simplify skills\", or \"simplify code and docs in parallel\".
Run a non-interactive Claude Code print-mode call from Codex. Use when the user asks to \"claude print\", \"ask claude\", \"run claude\", \"consult claude\", or when a Codex Turbo skill needs Claude as an independent peer reviewer.
Consult Claude Code for second opinions, brainstorming, or difficult debugging from Codex. Use when the user asks to \"consult claude\", \"ask claude\", \"get claude's opinion\", \"brainstorm with claude\", or \"discuss with claude\".
Propose a turbo skill improvement upstream by filing a GitHub issue against the turbo repo. Use when the user asks to \"contribute to turbo\", \"submit turbo changes\", \"contribute back\", \"suggest a turbo improvement\", or \"upstream my changes\".
Write a handoff file at .turbo/handoff/<YYYY-MM-DD>-<slug>.md capturing current session state — task, status, open decisions, in-flight changes, next step — so a fresh session can continue without re-deriving context. Use when the user asks to \"create a handoff\", \"create handoff\", \"save handoff\", \"handoff before compact\", \"save session state\", \"handoff for next session\", or \"capture session state\".
Scans an existing codebase and generates project-specific skills that capture inferred conventions such as naming, file organization, framework usage, data access, error handling, and testing style. Writes into the project's chosen skill directory (e.g., `.claude/skills/`, `.agents/skills/`, or a custom path). Use when the user asks to \"extract skills from the codebase\", \"create project skills\", \"infer project conventions as skills\", \"codify patterns as skills\", or \"mine the repo for best practices\".
Create a new skill or update an existing skill that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. Use when the user asks to \"create a skill\", \"make a new skill\", \"build a skill\", \"scaffold a skill\", \"write a skill for...\", or \"new skill that does...\".
Validate improvements from .turbo/improvements.md, recommend a working set tailored to what's in the backlog, and run one lane: direct fixes, investigation, or planned work. One lane per session. Use when the user asks to \"implement improvements\", \"work on improvements\", \"address improvements\", \"process improvement backlog\", \"tackle improvements\", or \"implement noted improvements\".
Migrate legacy files in .turbo/ to current formats. Covers plans and shells (layout split, frontmatter normalization, prompt-plan index cleanup) and improvements.md (legacy `trivial`/`standard` Type values rewritten to `direct`/`plan`). Use when the user asks to \"migrate turbo files\", \"migrate turbo\", \"migrate turboplans\", \"migrate turbo plans\", \"upgrade plan format\", \"add frontmatter to plans\", \"convert old plans\", or \"migrate improvements\".
Developer onboarding guide that composes architecture mapping, tooling review, and agentic setup review with setup, troubleshooting, and next-steps agents to produce a comprehensive guide at .turbo/onboarding.md and .turbo/onboarding.html. Use when the user asks to \"onboard me\", \"onboard to this project\", \"generate onboarding guide\", \"new developer guide\", \"how do I get started\", or \"help me ramp up\".
Extract lessons from the current session and route them to the appropriate knowledge layer (project AGENTS.md, auto memory, existing skills, or new skills). Use when the user asks to \"self-improve\", \"distill this session\", \"save learnings\", \"update AGENTS.md with what we learned\", \"capture session insights\", \"remember this for next time\", \"extract lessons\", \"update skills from session\", or \"what did we learn\".
Run the code and documentation simplification passes together over one scope, launching every review sub-agent concurrently before applying a single round of fixes. Use when the user asks to \"simplify all\", \"simplify everything\", \"simplify code and docs\", \"clean up code and docs\", \"run both simplify skills\", or \"simplify code and docs in parallel\".
Analyze a codebase and recommend Claude Code automations (hooks, subagents, skills, plugins, MCP servers). Use when user asks for automation recommendations, wants to optimize their Claude Code setup, mentions improving Claude Code workflows, asks how to first set up Claude Code for a project, or wants to know what Claude Code features they should use.
| Evidence-based assessment of whether an SAP API/interface usage scenario aligns with the SAP API Policy (v.4.2026a). Use whenever someone asks whether a way of calling SAP is allowed/compliant — e.g. Published API vs internal/private/"confidential" API status, "Documented Use", whether a third-party tool / iPaaS / middleware / RPA bot / AI agent / MCP server may call SAP APIs, agentic or generative-AI access to SAP, bulk data extraction or replication into a lake/warehouse, custom Z/Y OData or RFC/BAPI wrappers and Clean Core, ADT/developer-tooling boundaries, ODP-RFC and other "not permitted" interfaces, partner Integration Certification, or RISE integration remediation. Trigger even when the policy is not named, e.g. "are we allowed to…", "is it compliant to…", "can we connect X to SAP…", "will this break under the new API policy". Produces a sourced technical assessment with a confidence level — explicitly NOT legal advice and NOT a final SAP compliance decision.
SAP Datasphere development skill with 3 specialized agents, 5 slash commands, and validation hooks. Use when building data warehouses on SAP BTP, creating analytic models, configuring data flows and replication flows, setting up connections, managing spaces and users, implementing data access controls, using the datasphere CLI, or inspecting authenticated Datasphere browser UI state with Microsoft Edge CDP. Covers Data Builder, Business Builder, analytic models, 40+ connection types, real-time replication, task chains, content transport, and data marketplace.
Engineer effective LLM prompts using zero-shot, few-shot, chain-of-thought, and structured output techniques. Use when building LLM applications requiring reliable outputs, implementing RAG systems, creating AI agents, or optimizing prompt quality and cost. Covers OpenAI, Anthropic, and open-source models with multi-language examples (Python/TypeScript).
Use when working with n8n workflows in any capacity. The always-on protocol for the n8n-skills plugin, loaded by the SessionStart hook every session. Routes to the right skill, summarizes every n8n MCP tool (closing the deferred-description gap), and lists the cross-cutting rules.
Use the Claude Code CLI to consult Claude and delegate coding tasks for prototyping, debugging, and code review. Supports multi-turn sessions via SESSION_ID. Optimized for low-token, file/line-based handoff.
Use the Gemini CLI to consult Gemini and delegate coding tasks for prototyping, debugging, and code review. Supports multi-turn sessions via SESSION_ID. Optimized for low-token, file/line-based handoff.
Generate a clean morning brief in Claude Code — pulls today's priorities, unposted content, and weather from your vault.
| Search and analyze Reddit content using semantic AI search via reddit-insights.com MCP server.
Guide users through adding a new connector action to a Copilot Studio agent. Connector actions require UI-based connection setup, so this skill walks users through the Copilot Studio portal steps, then delegates to edit-action for YAML modifications.
> Analyze exported evaluation results from Copilot Studio's Evaluate tab. The user provides a CSV file exported from the Copilot Studio UI; this skill parses it, identifies failures, and proposes YAML fixes. No API access or published agent required — just the exported CSV.
Add a global variable to a Copilot Studio agent. Use when the user needs a variable that persists across topics in the same conversation and can optionally be visible to the AI orchestrator.
Add child agents, connected agents, or other multi-agent patterns to a Copilot Studio agent. Use when the user asks to create a sub-agent, child agent, connected agent, or call another agent.
Send a message to a Copilot Studio agent via DirectLine v3. Use for agents with no auth or manual auth. Requires a token endpoint URL or DirectLine secret.
DEPRECATED: Use /copilot-studio:detect-mode then /copilot-studio:chat-directline or /copilot-studio:chat-sdk instead.
Create plugin development eval scenarios (JSON files with natural prompts and deterministic checks for testing plugin skills). NOT for Copilot Studio in-product evaluation — use /copilot-studio:create-eval-set for that.
Clone a Copilot Studio agent from the cloud. Guides through environment selection, agent selection, and downloads agent YAML files.
Detect a Copilot Studio agent's authentication mode (DirectLine vs M365) by querying Dataverse. Returns the mode and connection details needed to chat.