Find the perfect capability for your agent.
Generates weekly code-review digest docs from PR review comments for any GitHub repository. If present, follows project-specific docs/review-digests/AGENTS.md guidelines. Use this to turn a date-bounded set of PR reviews into a structured markdown “newsletter” that captures themes, repeated issues, and concrete takeaways.
Endpoint visibility, digital forensics, and incident response using Velociraptor Query Language (VQL) for evidence collection and threat hunting at scale. Use when: (1) Conducting forensic investigations across multiple endpoints, (2) Hunting for indicators of compromise or suspicious activities, (3) Collecting endpoint telemetry and artifacts for incident analysis, (4) Performing live response and evidence preservation, (5) Monitoring endpoints for security events, (6) Creating custom forensic artifacts for specific threat scenarios.
Process JSON with jq and YAML/TOML with yq. Filter, transform, query structured data efficiently. Triggers on: parse JSON, extract from YAML, query config, Docker Compose, K8s manifests, GitHub Actions workflows, package.json, filter data.
Digital punch list management for construction project closeout. Track deficiencies, assign corrections, photo documentation, and completion verification.
Automate as-built documentation and digital handover for construction. Compile project records, generate O&M manuals, create asset databases, and ensure complete project closeout.
Add a new Paperless-ngx API resource to pypaperless. Use when implementing a new endpoint, service, model, or sub-service (e.g. /api/trash/, /api/documents/{id}/history/). Covers model definition, service class, const.py wiring, client registration, test fixtures, unit tests, script/pngx_audit_coverage.py, and script/pngx_smoketest.py.
Designs digital experiences for ADHD brains using neuroscience research and UX principles. Expert in reducing cognitive load, time blindness solutions, dopamine-driven engagement, and compassionate design patterns. Activate on 'ADHD design', 'cognitive load', 'accessibility', 'neurodivergent UX', 'time blindness', 'dopamine-driven', 'executive function'. NOT for general accessibility (WCAG only), neurotypical UX design, or simple UI styling without ADHD context.
Longitudinal memory tracking, philosophy teaching, and personal accountability with compassion. Expert in pattern recognition, Stoicism/Buddhism, and growth guidance. Activate on 'accountability', 'philosophy', 'Stoicism', 'Buddhism', 'personal growth', 'commitment tracking', 'wisdom teaching'. NOT for therapy or mental health treatment (refer to professionals), crisis intervention, or replacing professional coaching credentials.
Spawns AI coding agents in isolated git worktrees. Use when the user asks to spawn or launch an agent, delegate a task to a separate agent, work in a separate worktree, or parallelize development across features.
Architect PROSE-compliant agent primitives for AI-native development. Use when (1) Building AI-native apps from requirements ("I want an app that...") (2) Making legacy projects AI-native (3) Designing agent workflows (4) Auditing existing primitives for reliability issues. PROSE = Progressive Disclosure, Reduced Scope, Orchestrated Composition, Safety Boundaries, Explicit Hierarchy
Builds the Fake Survey Generator React frontend with Vite and TypeScript. Use this skill when frontend code changes need to be compiled and validated for TypeScript errors. This skill orchestrates the npm build command and reports build errors.
Write, review, debug, and improve bash/shell scripts for any context: CI/CD pipelines (GitHub Actions, GitLab CI, Bitrise), DevOps automation, macOS/Linux system tasks, file processing, and data transformation. Use this skill whenever the user asks to write a shell script, improve an existing one, debug a bash error, or automate any task via command line — even if they just say "make a script that does X" or paste a broken script without explanation. Also trigger for requests involving cron jobs, entrypoints, deploy scripts, migration scripts, or any .sh file.
Starts and validates the Aspire orchestrated application runtime. Use this skill to spin up the complete application environment (database, cache, API, Worker, UI) and verify that all resources reach healthy status before running E2E tests.
Assess feasibility and effort of rewriting the application in a different language, framework, or architecture. Compare current stack against target stack. Produce ADRs for rewrite vs modernize decision.
Use when: running an ad hoc Node.js script, using node -e for inspection or file transforms, creating a temporary .cjs helper, or avoiding Git Bash quoting and history-expansion issues on Windows. Keywords: node script, node -e, temporary script, .cjs, Git Bash, history expansion, JSON transform, one-off Node command.
Assess application readiness for cloud-native deployment. Evaluate against 12-factor app principles, containerization readiness, and Azure service fit. Adaptive depth.
Diagnose and resolve Azure deployment failures by analyzing error output, checking Azure resource state, and suggesting fixes. Use when azd provision fails, azd deploy fails, smoke tests fail against live deployment, container images fail to push/pull, or any Phase 6 deployment error occurs. Trigger on deployment errors, infrastructure failures, or post-deploy smoke test failures.
Provision Azure infrastructure, deploy to Azure Container Apps, and verify via smoke tests. Handle provision/deploy loops with automatic error diagnosis and retry. Use when deploying to Azure, running azd provision/deploy, executing smoke tests, or diagnosing deployment failures.
Plan the journey to cloud-native deployment on Azure. Generate increments for containerization, configuration externalization, infrastructure-as-code, observability, CI/CD, and Azure service provisioning. Each increment feeds into the standard Phase 2 delivery pipeline.
Catalog existing tests — discover test frameworks, count tests by type, parse coverage reports, and map test-to-feature relationships. Pure discovery — no gap analysis, no recommendations for new tests, no assessment of test quality. Use when you need a factual inventory of the testing landscape before migration or modernization planning.
