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).
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
agent-operated-software
Use when designing, building, operating, or diagnosing an ongoing application whose live backend or control loop includes OpenRig agents, including applications with a Markdown, YAML, or JSON agent control plane or a thin surface over specialist agent roles.
noodle-use
Teach agents to create, organize, maintain, evaluate, import, convert, and automate noodle terminal REST client collections using supported CLI commands plus YAML and dotenv files.
Broken Frontmatter Skill
This skill has valid content but its YAML frontmatter cannot be parsed.
add-yaml-exchange
Add a new cryptocurrency exchange using a YAML configuration file. Use when asked to "add exchange", "add yaml exchange", "new exchange", "implement exchange", or "create exchange yaml". This skill handles the complete workflow of creating a YAML exchange definition, testing it, and deploying it.
bsl-model-builder
Build BSL semantic models with dimensions, measures, joins, and YAML config. Use for creating/modifying data models.
dbt_ingest
Map dbt `schema.yml` / `properties.yml` models and sources into KTX semantic-layer overlays and column notes. Covers `sources:` vs `models:`, column `data_tests` (not_null, unique, accepted_values, relationships), and how bundle-time writes complement manifest backfill from git sync. Load when the WorkUnit's `skillNames` includes `dbt_ingest` or when raw files are dbt YAML under `models/` / `sources/`.
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.
resume-generation
Generate a highly targeted YAML resume from a Job Description. Use when the user provides a JD (job description, job posting, job ad, role description) and asks for a tailored resume, an updated resume, a resume polish, or a resume that matches the role.
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
How to add a skill
1. Create `skills/<name>.md` with the YAML frontmatter (name, summary, task_keywords, applies_to, required_rules, required_context, affected_workspaces, required_tests, required_docs, validation_lane) and the standard body sections. See [skills/README.md](../../skills/README.md). 2. Ensure `task_key
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.
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.
/bare
This skill has no YAML frontmatter; the file begins with body content.
Synthetic Data Generation
Generate synthetic data, run a flow, create training data, produce datasets, or author custom flow YAMLs using sdg_hub
Author a coder-eval task
You are writing coder-eval task YAML. The user's request is: `$ARGUMENTS`
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".
galley
Authors and validates Galley task YAML, profiles, daemon handoff, run evidence, and queueing. Use when the user asks to create/repair/queue a Galley task, configure profiles/daemon/PR automation, or diagnose a Galley run.
autospec-analyze
Analyze cross-artifact consistency and quality in YAML format.