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Found 338 Skills
Evaluates and optimizes agent skills using a DSPy-powered GEPA (Generate/Evaluate/Propose/Apply) loop. Loads scenario YAML files as DSPy datasets, scores outputs with pattern-matching metrics, and optimizes prompts via BootstrapFewShot or MIPROv2 teleprompters. Also generates new scenario YAML files from skill descriptions.
Use when working with Obsidian vaults, markdown notes with [[wikilinks]], ![[embeds]], callouts (> [!type]), YAML frontmatter/properties, #tags, block IDs (^id), ==highlights==, %%comments%%, Obsidian CLI commands (obsidian create/read/append/search/move/tags/daily/etc.), vault organization (PARA, MOC, flat+tags, Johnny Decimal), folder restructuring, daily notes, templates, task management, backlink analysis, or any file operations in an Obsidian vault directory. Trigger this skill whenever the user mentions Obsidian, .md files inside an Obsidian vault, knowledge base organization, or note-taking workflows — even if they don't explicitly say "Obsidian".
Write, run, and analyze structured test suites for Agentforce agents. TRIGGER when: user writes or modifies test spec YAML (AiEvaluationDefinition); runs sf agent test create, run, run-eval, or results commands; asks about test coverage strategy, metric selection, or custom evaluations; interprets test results or diagnoses test failures; asks about batch testing, regression suites, or CI/CD test integration. DO NOT TRIGGER when: user creates, modifies, previews, or debugs .agent files (use developing-agentforce); deploys or publishes agents; writes Agent Script code; uses sf agent preview for development iteration; analyzes production session traces (use observing-agentforce).
Test system for Megatron-LM. Covers test layout, recipe YAML structure, adding and running unit and functional tests, golden values, marker filters, and CI parity.
Create production-ready Kubernetes manifests for Deployments, Services, ConfigMaps, and Secrets following best practices and security standards. Use when generating Kubernetes YAML manifests, creating K8s resources, or implementing production-grade Kubernetes configurations.
Create, run, and maintain API test collections using Bruno (OpenCollection YAML format and legacy Bru format). Use when the user wants to: (1) create a Bruno API test collection from scratch or from OpenAPI/Swagger specs, (2) write API request files with tests and assertions, (3) run API tests using bru CLI, (4) generate test reports (HTML, JUnit, JSON), (5) set up CI/CD pipelines (GitHub Actions) for automated API testing, (6) debug or fix failing Bruno API tests, (7) add environment configurations for API testing, (8) chain API requests with data extraction, or (9) work with any .yml/.bru Bruno collection files. Triggers on mentions of 'Bruno', 'bru CLI', 'API testing collection', 'OpenCollection', or requests to automate API testing with file-based collections.
Full-stack PlantUML expert: create PUML from descriptions, convert images to PUML (vision reverse engineering), render locally (PNG/SVG/PDF) with no internet. macOS/Windows/Linux; auto-installs PlantUML+Java+Python. Covers all 27 chapters of the PlantUML Language Reference Guide v1.2025.0 (607 pages): Sequence, Use Case, Class, Object, Activity (legacy+new), Component, Deployment, State, Timing, JSON, YAML, nwdiag, Salt/Wireframe, Archimate, Gantt, MindMap, WBS, Maths, ER, Common Commands, Creole, Sprites, Skinparam, Preprocessing, Unicode, StdLib (C4/AWS/Azure/K8s/ArchiMate). Use for: draw a diagram, create PUML, convert image to PUML, render .puml, debug PUML, explain PlantUML syntax, any UML task.
Central authority for Claude Code subagents (sub-agents). Covers agent file format, YAML frontmatter, tool access configuration, model selection (inherit, sonnet, haiku, opus), automatic delegation, agent lifecycle, resumption, command-line usage (/agents), Agent SDK programmatic agents, priority resolution, and built-in agents (Plan subagent). Assists with creating agents, configuring agent tools, understanding agent behavior, and troubleshooting agent issues. Delegates 100% to docs-management skill for official documentation.
Validates and scores Claude Code skill packages for quality, completeness, and best practices compliance. Tests Python scripts, checks YAML frontmatter, and generates quality reports. Use when creating new skills, validating skill packages, or auditing skill quality.
Compliance review and testing: evaluate your application against HIPAA, SOC 2, PCI-DSS, and GDPR technical requirements with browser-based validation and YAML regression tests for continuous compliance.
Wire a semantic layer into a nao agent so that metric queries are routed through a single source of truth. Supports dbt MetricFlow (dbt Cloud with Semantic Layer), Snowflake (views or semantic views via MCP), an in-house nao YAML semantic layer, or other tools (via MCP discovery). Installs the right MCP server, updates RULES.md to route metric queries through the semantic layer, and (for the nao YAML option) generates starter metric files. Use after a first round of tests has shown the agent struggling with metric reliability. Do not use for raw rule writing (write-context-rules) or first-time setup (setup-context).
Draft CHANGELOG entries from git log via the pm-changelog-curator sub-agent. Dispatches natively on Claude Code with the pm-skills plugin (invokes @agent-pm-changelog-curator); on non-Claude clients (Codex CLI, Cursor, Windsurf, Copilot, Gemini CLI) reads subagents/pm-changelog-curator.md and executes the system prompt inline. Applies CLAUDE.md hygiene rules (no internal-notes references, no em-dashes, no Claude attribution trailers, public paths only). Returns a layered draft (full CHANGELOG draft + Status Summary prose + Status YAML envelope per master plan D26) with hidden justification comments for maintainer audit. Refuses on dirty working tree unless --committed-only is passed.