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Found 1,557 Skills
Automated semantic versioning and release workflow for Claude Code plugins. Handles version increments across package.json, marketplace.json, and plugin.json, build verification, git tagging, GitHub releases, and changelog generation.
Operate Resend email campaigns, webhooks, Gmail reply sync, and Google Sheets tracking for the m26pipeline scripts/emails toolkit. Use when sending batch mail via send_campaign, syncing replies, running the email webhook server, UTM links, Resend API keys, sparse-clone setup, idempotency, or follow-up cohorts. Applies to any environment once scripts/emails is present or fetched from GitHub.
Guide for configuring Infisical Secret Syncs to push secrets from Infisical to third-party services. Covers 38+ sync destinations including AWS Secrets Manager, GCP Secret Manager, Azure Key Vault, GitHub, Vercel, HashiCorp Vault, Cloudflare, and more. Use this skill when someone asks about: syncing secrets to AWS/GCP/Azure, pushing secrets to GitHub Actions, Vercel environment variables, secret sync setup, App Connections, mapping behavior, key schemas, or 'how do I get my Infisical secrets into [service]'.
Find, install, and configure MCP servers. Use proactively for MCP discovery, OAuth setup, env vars, stdio vs SSE transport, or troubleshooting MCP connections. Examples: - user: "Add the filesystem MCP server" → read server file, add to mcpServers in opencode.json, verify transport type - user: "How do I use MCP with GitHub?" → check catalog, install @modelcontextprotocol/server-github, configure OAuth token - user: "MCP not connecting" → check transport type (stdio/SSE), verify args/command, check env vars are passed - user: "What MCPs are available?" → run list_mcps.py, show catalog with auth types and install commands
Implement OAuth 2.0 social login with Google, GitHub, and other providers. Handles token exchange, user creation, and account linking.
Code context using Exa. Finds real snippets and docs from GitHub, StackOverflow, and technical docs. Use when searching for code examples, API syntax, library documentation, or debugging help.
Advanced memory operations reference. Basic patterns (profile loading, simple recall/remember) are in project instructions. Consult this skill for background writes, memory versioning, complex queries, edge cases, session scoping, retention management, type-safe results, proactive memory hints, GitHub access detection, and ops priority ordering.
Query official Microsoft documentation to find concepts, tutorials, and code examples across Azure, .NET, Agent Framework, Aspire, VS Code, GitHub, and more. Uses Microsoft Learn MCP as the default, with Context7 and Aspire MCP for content that lives outside learn.microsoft.com.
Generate GitHub Pull Request title and description from branch changes
Entrypoint for all Fusion skill lifecycle operations. USE FOR: finding, installing, updating, syncing, or greenkeeping skills; setting up skill automation; creating or authoring a new skill; reporting a bug with a skill. DO NOT USE FOR: resolving GitHub issues, reviewing PRs, planning task breakdowns, or authoring GitHub issues — those are handled by other Fusion skills.
Free unlimited web search via self-hosted SearXNG (aggregates Google, Bing, DuckDuckGo, Reddit, GitHub and 70+ more engines). Use whenever the user needs to search the web for anything — news, docs, code examples, prices, people, places — even if they just say "search for X" or "look up Y". Prefer this over paid APIs. Run setup.sh first if SearXNG is not running.
Luban - Skill Polishing Workshop. Transform a "usable Skill" into a public Skill asset that is "understandable, installable, shareable, verifiable, and continuously evolvable". The methodology consists of five craftsman-like steps: 1. Material Inspection: First challenge whether the premise of this Skill is valid; directly state if the "material" is not worth polishing. 2. Peer Research: Search for similar Skills online to clarify its position in the ecosystem. 3. Dimension Measurement: Evaluate using three metrics - structure, actual testing, and live verification (live verification means reconciling with real running outputs; a green CI can be deceptive). 4. Iterative Refinement: Freeze the original version as a baseline; only retain changes that pass the verification gate, otherwise revert. Try to institutionalize verification methods as tools and rules in the repository. 5. Post-Release Iteration: Release is not the end; maintain a benchmark observation list, and start the next iteration based on real feedback. This tool is used when users want to upgrade, optimize, polish, productize, or release their self-developed Skills. The final deliverables include a structured Skill Polishing Report, directly replaceable rewritten segments, and a shareable "Graduation Certificate" result card that can be screenshot. Trigger phrases include but are not limited to: "Let Luban take a look at this skill", "Polish at Luban's Workshop", "Polish my skill", "Upgrade my skill", "Optimize this skill", "Skill check-up", "Skill audit", "Productize my skill", "How to release this skill", "Benchmark against similar skills", "Why no one installs my skill", "Help me publish my skill to GitHub/ClawHub", "Improve SKILL.md". Even if users only provide a Skill directory, GitHub repository link, or a segment of SKILL.md saying "Help me figure out how to modify it", it should be triggered as long as the context is about making the Skill more usable and shareable. Do NOT use this for creating a new Skill from scratch (use skill-creator), regular code review (use code-review), or rewriting ordinary prompts unrelated to Skill assets.