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Found 1,058 Skills
Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conversion, and OpenAI-compatible local serving.
Golang OpenAPI/Swagger documentation with swaggo/swag — annotation comments (@Summary, @Param, @Success, @Router, @Security), swag init code generation, framework integrations (gin, echo, fiber, chi, net/http), security definitions (Bearer/JWT, OAuth2, API key), and struct tags (swaggertype, enums, example, swaggerignore). Apply when adding or maintaining Swagger/OpenAPI docs in a Go project, or when the codebase imports github.com/swaggo/swag, github.com/swaggo/gin-swagger, github.com/swaggo/echo-swagger, github.com/swaggo/http-swagger, or github.com/swaggo/files.
Cross-chain bridging, swapping, and "bridge+call" via Relay through the OpenFinance backend. Use whenever the user wants to move tokens between chains or execute a destination-chain transaction funded from another chain. Triggers: "bridge X from Y to Z", "move my USDC to Base / Arbitrum / Optimism / Polygon / Solana", "swap ETH for USDC on Base", "cross-chain swap", "bridge and call", "how do I get to Solana / back from Solana", "my USDC is stuck on Solana", EVM-to-EVM, EVM-to-Solana, Solana-to-EVM, Bitcoin bridge, gas topup on destination, native-token sentinel 0x0, relay quote/preview/execute flow, poll intent status. Covers POST /agent/relay/quote, POST /agent/relay/execute, GET /agent/relay/status. Includes the chainId cheatsheet (1/137/8453/10/42161/... and Solana 792703809 specifically), tradeType semantics (EXACT_INPUT / EXACT_OUTPUT / EXPECTED_OUTPUT), why topupGas is auto-disabled on Solana routes, the Solana wallet delegation requirement for Solana-origin execute, and bridge+call payloads (txs array). Use together with openfin-setup (API key check) and openfin-troubleshooting (Blockhash not found, Custom:101, 412 delegation).
Use this skill when > Migrate TypeScript test files from unsafe `as` type assertions to type-safe alternatives from @total-typescript/shoehorn. Replace `obj as Type` with fromPartial(), `obj as unknown as Type` with fromAny(), and complete specs with fromExact(). Test code only — never use in production.
Choose GPT-Image2 / gpt-image-2 visual styles and industrial prompt templates from the awesome-gpt-image-2 style library. Use when an agent needs to create, rewrite, classify, or improve image-generation prompts with repository-backed templates, categories, style tags, scene tags, pitfalls, and example cases.
[REQUIRED] Comprehensive description of what this skill does and when to use it. Include: (1) Primary functionality, (2) Specific use cases, (3) Security operations context. Must include specific "Use when:" clause for skill discovery. Example: "SAST vulnerability analysis and remediation guidance using Semgrep and industry security standards. Use when: (1) Analyzing static code for security vulnerabilities, (2) Prioritizing security findings by severity, (3) Providing secure coding remediation, (4) Integrating security checks into CI/CD pipelines." Maximum 1024 characters.
Use when user input contains xlb topic queries (for example "xlb >vibe coding/vib", "xlb ??vibe coding", or "查询xlb vibe coding主题") and the task is to fetch Markdown index from local getPluginInfo API, then perform code-based retrieval with routing to available network skills/MCP tools when possible.
Adds documents to golden dataset with validation. Use when curating test data or saving examples.
Run tests from skill examples and generate a report (project)
Hexagonal grid mathematics, coordinate systems, pathfinding, and spatial algorithms for hex-based games. Use when implementing hex grids, calculating hex distances, finding neighbors, pathfinding on hex maps, spreading effects across hexes, or converting between coordinate systems. Triggers on requests involving hexagonal grids, hex coordinates, A* on hex maps, or hex-based game mechanics.
Generate PhD-level expert agent prompts for Claude Code. Creates comprehensive 500-1000 line agents with detailed patterns, code examples, and best practices. Triggers on: spawn agent, create agent, generate expert, new agent, agent genesis.
Write Python docstrings following the Google Python Style Guide, using clear sections and examples.