Loading...
Loading...
Found 42 Skills
Build health audit worker (L3). Checks compiler/linter errors, deprecation warnings, type errors, failed tests, build configuration issues. Returns findings with severity (Critical/High/Medium/Low), location, effort, and recommendations.
Pre-PR review pipeline — runs security, API audit, and scope check agents in parallel. Read-only, no changes. Use before creating PRs or after completing a phase of work.
Research-to-implement pipeline chaining 5 MCP tools with graceful degradation
Provides reflective questioning framework to challenge assumptions about work completeness, catching incomplete implementations before they're marked "done". Use before claiming features complete, before moving ADRs to completed status, during self-review, or when declaring work finished. Triggers on "is this really done", "self-review my work", "challenge my assumptions", "verify completeness", or proactively before marking tasks complete. Works with any type of implementation work. Enforces critical thinking about integration, testing, and execution proof.
Audit claude-skills repository documentation with systematic 9-phase review: standards compliance, official docs verification via Context7/WebFetch, code examples accuracy, cross-file consistency, and version drift detection. Auto-fixes unambiguous issues with severity classification. Use when: investigating skill issues, major package updates detected (e.g., v1.x → v2.x), skill not verified >90 days, before marketplace submission, or troubleshooting outdated API patterns, contradictory examples, broken links, version drift.
Run after making Docyrus API changes to catch bugs, performance issues, and code quality problems. Use when implementing or modifying code that uses Docyrus collection hooks (.list, .get, .create, .update, .delete), direct RestApiClient calls, query payloads with filters/calculations/formulas/childQueries/pivots, or TanStack Query integration with Docyrus data sources. Triggers on tasks involving Docyrus API logic, data fetching, mutations, or query payload construction.
Prepare R packages for CRAN submission by checking for common ad-hoc requirements not caught by devtools::check(). Use when: (1) Preparing a package for first CRAN release, (2) Preparing a package update for CRAN resubmission, (3) Reviewing a package to ensure CRAN compliance, (4) Responding to CRAN reviewer feedback. Covers documentation requirements, DESCRIPTION field standards, URL validation, examples, and administrative requirements.
Stage all changes, commit, and push. Use when user asks to "ship", "commit and push", "add all and push", or requests staging all changes, committing, and pushing.
Scope-aware GitHub PR review with user-friendly tone and trust tier validation
Systematic OSS release preparation checklist. Use when preparing a repository for open-source publishing, making a project public, or ensuring a repo meets OSS standards. Triggers: "prepare for OSS", "ready to publish", "make this public", "OSS checklist", "scan repo for publish", "open source this", "/oss-release-prep"
Per-package implementation review producing structured findings per review-findings.schema.json
Master Git hooks setup with Husky, lint-staged, pre-commit framework, and commitlint. Automate code quality gates, formatting, linting, and commit message enforcement before code reaches CI.