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Found 326 Skills
Evaluate and validate Claude Code rules in .claude/rules/ directories. Use when auditing rule file quality, validating frontmatter and glob patterns, or checking rules organization before deployment. Do not use when writing new rules from scratch - use rule authoring guides instead. Do not use when evaluating skills or hooks - use skills-eval or hooks-eval instead.
Generates detailed implementation plans with milestones and tasks from business and technical requirements. Embeds best practices including task sizing (30m-2.5h), style anchors, TDD requirements, and quality constraints. Outputs milestones.yaml and milestone-m*.tasks.yaml files ready for development.
Set up, configure, and troubleshoot Salesforce Code Analyzer for any project. Handles installation, prerequisite checks, diagnosing broken setups, creating and editing code-analyzer.yml overrides, engine-specific settings, ignore patterns, severity overrides, and CI/CD pipeline setup. TRIGGER when: user says 'set up code analyzer', 'configure code analyzer', 'install code analyzer', 'code analyzer not working', 'fix my setup', 'scan is failing', 'check my setup', 'is code analyzer installed', 'enable/disable engine', 'exclude files', 'change severity', 'set up GitHub Actions', 'set up CI/CD', 'add code analyzer to pipeline', 'make pipeline fail', 'update my workflow', 'quality gate', 'fail on violations', 'scan changed files only', 'add SARIF', 'code-analyzer.yml', 'ESLint config', 'increase SFGE memory', or reports errors running Code Analyzer. DO NOT TRIGGER when: user wants to run a scan (use running-code-analyzer), fix violations, explain rules, create custom rules, or suppress violations.
Use when bootstrapping skill-loop in a repository, creating a GitHub issue loop starter, or writing and updating skill-loop.yml and starter skills.
Define initial seed data for Steedos objects using .data.json, .data.yml, or .data.csv files in main/default/data/. Records are imported on service startup (insert-only) and on space initialization (upsert). Covers file naming, record structure, _id requirement, template variables (${space_id}, ${space_owner_id}), EJSON date format, and import behavior (onlyInsert vs upsert).
Evaluates accuracy of quantized or unquantized LLMs using NeMo Evaluator Launcher (NEL). Triggers on "evaluate model", "benchmark accuracy", "run MMLU", "evaluate quantized model", "accuracy drop", "run nel". Handles deployment, config generation, and evaluation execution. Not for quantizing models (use ptq) or deploying/serving models (use deployment).
Comprehensive toolkit for validating, linting, and securing Azure DevOps Pipeline configurations.
Document solved problems for knowledge persistence
Create and manage Infrahub object data files. Use when populating infrastructure data, creating device instances, locations, organizations, module installations, or any other data objects for an Infrahub repository.
Use this skill whenever creating, updating, or reviewing a skill file. Do not wait for an explicit request — if a skill is being created or edited, this skill applies.
This skill helps the agent generate or update orchestration pipeline definitions for Google Cloud Composer to initialize orchestration pipeline or update the orchestration definition for orchestration of various data pipelines, like dbt pipelines, notebooks, Spark jobs, Dataform, Python scripts or inline BigQuery SQL queries. This skill also helps deploy and trigger orchestration pipelines.
Conduct preliminary research on a topic and generate research outline. For academic research, benchmark research, technology selection, etc.