yapi â LLM Skill Guide
yapi is a CLI-first, git-friendly API client. You define requests in YAML files and run them from the terminal. No GUI, no accounts, no state â just files and a binary.
brasa-template-writer
Write new brasa YAML templates from scratch or migrate legacy templates (with reader.function and handler-based fields) to the modern pipeline-based format. Use when the user asks to create a new template, write a template, migrate a legacy template, convert an old template, or work with YAML template definitions. Also trigger when the user mentions template creation, template migration, or refers to legacy/old templates.
format-cc
Formats Claude Code files with markdownlint, prettier, and shellcheck. Use when user asks to "format my files", "fix markdown formatting", "clean up CLAUDE.md", or "check shell scripts". Auto-fixes markdown, JSON, YAML formatting and analyzes shell script quality.
Broken
This file has a corrupted YAML frontmatter (unterminated quote, missing close). The miner should degrade gracefully â either treat as anomaly or skip entirely, but MUST NOT crash.
ezorm-gen-yaml-mongo
Generate Go code from ezorm YAML (mongo). Use when asked to produce Go output from mongo YAML schemas; provide the exact ezorm CLI command(s).
Transform Claude Code into a full development team. 11 specialized agents (Architect, Engineer, QA, Security, UX, DevOps, and more), persistent memory across sessions, and 25,000+ on-demand skills. Works immediately for solo devs—customizable with your team's standards, methodologies, and proprietary knowledge.
Validate and fix YAML frontmatter in markdown documentation
magpie
Performs GPU kernel correctness and performance evaluation and LLM inference benchmarking with Magpie. Analyzes single or multiple kernels (HIP/CUDA/PyTorch), compares kernel implementations, runs vLLM/SGLang benchmarks with profiling and TraceLens, and runs gap analysis on torch traces. Creates kernel config YAMLs, discovers kernels in a project, and queries GPU specs. Use when the user mentions Magpie, kernel analyze or compare, HIP/CUDA kernel evaluation, vLLM/SGLang benchmark, gap analysis, TraceLens, creating kernel configs, or discovering GPU kernels.
agent-factory
Claude Code agent generation system that creates custom agents and sub-agents with enhanced YAML frontmatter, tool access patterns, and MCP integration support following proven production patterns
Manage Repositories
You manage repository profiles using the `files_*` tools with the `repos/` URI prefix. Repository data is stored as YAML files in `~/.open-walnut/repositories/`.
Broken Frontmatter Skill
This skill has valid content but its YAML frontmatter cannot be parsed.
bsl-model-builder
Build BSL semantic models with dimensions, measures, joins, and YAML config. Use for creating/modifying data models.
Creating snip Filters
You are an expert at writing declarative YAML filters for **snip**, a CLI proxy that reduces LLM token consumption by filtering shell output.
add-benchmark
Guide for adding a new benchmark or training environment to NeMo-Gym. Use when the user asks to add, create, or integrate a benchmark, evaluation, training environment, or resources server into NeMo-Gym. Also use when wrapping an existing 3rd-party benchmark library. Covers the full workflow: data preparation, resources server implementation, agent wiring, YAML config, testing, and reward profiling (baselining). Triggered by: "add benchmark", "new resources server", "integrate benchmark", "wrap benchmark", "add training environment", "add eval".
DeepReader
The default web content reader for OpenClaw agents. Automatically detects URLs in messages, fetches content using specialized parsers, and saves clean Markdown with YAML frontmatter to agent memory.
Deepnote Skill
`.deepnote` files are YAML-based, portable, git-friendly project files that can contain multiple notebooks. Each notebook holds an ordered list of blocks (code, SQL, markdown, inputs, visualizations, etc.). Snapshot files (`.snapshot.deepnote`) use the same format but include execution outputs.
pypreset
Scaffold Python projects from YAML presets, augment existing projects with CI/tests.
jDocmunch MCP
Section-level doc search for .md, .rst, .adoc, .ipynb, .html, .yaml, .json, and OpenAPI specs.
Aegis — AI Agent Governance
Policy-based governance for AI agent tool calls. YAML policy, approval gates, audit logging.
Orionbelt Semantic Layer
API-first semantic layer MCP server compiling YAML models into dialect-specific SQL
Io.Github.Cruxible Ai/Cruxible Core
Deterministic decision engine with receipts. Define rules in YAML, query a graph, get proof.
Io.Github.Rog0x/Config
JSON, YAML, TOML, INI config tools for AI agents
Io.Github.ByPawel/Tachibot Mcp
Multi-model AI orchestration with 31 tools, YAML workflows, and 5 token-optimized profiles.
Io.Github.Parth Unjiya/Odoo Mcp Gateway
Security-first MCP gateway for Odoo 17/18/19 — YAML-driven security, 27 tools
nushell
Use when writing or running Nushell commands, scripts, or pipelines - via the Nushell MCP server (mcp__nushell__evaluate), via Bash (nu -c), or in .nu script files. Also use when working with structured data (JSON, YAML, TOML, CSV, Parquet, SQLite), doing ad-hoc data analysis or exploration, or when the user's shell is Nushell.
craft-content-modeling
Craft CMS 5 content modeling â sections, entry types, fields, Matrix, relations, project config, and content architecture strategy. Covers everything editors and developers need to structure content in Craft. Triggers on: section types (single, channel, structure), entry types, field types, field layout, Matrix configuration, nested entries, relatedTo, eager loading, .with(), .eagerly(), categories, tags, globals, global sets, preloadSingles, propagation, multi-site content, URI format, project config, YAML, content architecture, content strategy, taxonomy, asset volumes, filesystems, image transforms, user groups, permissions, entries-as-taxonomy, entrify, entrification, CKEditor vs Matrix, CMS editions. Always use when planning content architecture, creating sections/fields, configuring Matrix, setting up relations, or making content modeling decisions.
formulate-discovery-problem
Formulates problems for execution with ado by creating discoveryspace and operation YAML files. Guides through experiment selection, space creation, validation, operation configuration, and parameterization. Use when the user wants to create discoveryspace or operation YAML files, configure experiments, set up entity spaces, or formulate problems for ado execution.
Synthetic Data Generation
Generate synthetic data, run a flow, create training data, produce datasets, or author custom flow YAMLs using sdg_hub
adr-creating
Write and validate Architecture Decision Records following Shopware ADR conventions. Interactively creates ADRs with proper YAML front matter, structure selection (simple or multi-domain), and guided content. Validates existing ADRs against front matter rules, required coverage, structure, writing style, and Shopware-specific patterns. Use when creating new ADRs, writing architecture decisions, validating ADR files, checking ADR quality, or when user mentions "ADR", "architecture decision record", or "decision record".