Break vague requirements into precise business rules (BR-*), constraints (C-*), and formulas (F-*) for code generation. Orchestrates extraction of BR-*, C-*, F-* from REQ-*. Use after requirement-extraction to enable autogeneration.

Execute comprehensive disaster recovery tests, validate recovery procedures, and document lessons learned from DR exercises.

disciplined-implementation

disciplined-quality-evaluation

disciplined-specification

disciplined-validation

disciplined-verification

Use after solution concepts exist to surface and prioritize assumptions behind outcomes, opportunities, or solution ideas and design experiments to test them.

When given a project codebase, this skill observes the important functions in the codebase for future action.

Use when planning, running, or summarizing discovery calls to uncover pain, timeline, and authority.

Conduct discovery interviews to gather requirements, clarify vague ideas, and create detailed specifications. Use when gathering requirements or clarifying vague ideas. Not for execution or simple partial updates.

Use when validating product assumptions before building, discovering unmet user needs, understanding customer problems and workflows, testing concepts or positioning, researching target markets, identifying jobs-to-be-done and hiring triggers, uncovering pain points and workarounds, or when users mention user research, customer interviews, surveys, discovery interviews, validation studies, or voice of customer.

Structured project discovery using proven methodologies (JTBD, Amazon PR/FAQ, ADR, Lean Startup, DDD). Transforms ambiguous ideas into clear, validated specifications ready for spec-kit handoff.

Use when implementing features or adding functionality - dispatches incremental-tdd-agent that enforces ONE test at a time, preventing batch test writing that defeats incremental design discovery. Maintains discipline through entire feature implementation (10+ test cycles)

Use when encountering bugs, test failures, unexpected behavior, errors, or performance problems - dispatches systematic-debugging-agent that enforces 4-phase process (root cause investigation, pattern analysis, hypothesis testing, implementation) to prevent quick-fix attempts and ensure proper debugging

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.

django-cloud-sql-postgres

Expert Django developer specializing in Async Views, Django Ninja (FastAPI-like), and HTMX patterns for modern full-stack apps.

Expert Django developer mastering Django 4+ with modern Python practices. Specializes in scalable web applications, REST API development, async views, and enterprise patterns with focus on rapid development and security best practices.

Use when building Django web applications or REST APIs with Django REST Framework. Invoke for Django models, ORM optimization, DRF serializers, viewsets, authentication with JWT.

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Django framework workflow guidelines. Activate when working with Django projects, manage.py, django-admin, or Django-specific patterns.

Specialized skill for designing primers to insert DNA sequences into circular plasmids using Q5 site-directed mutagenesis (SDM). This skill should be used when tasks involve inserting sequences into plasmids, designing primers for Q5 SDM insertions, or converting an input plasmid to an output plasmid with additional sequence. The skill provides workflows for understanding Q5 SDM mechanics, proper primer design with annealing regions, Tm calculation, and critical verification strategies.

A comprehensive DnD campaign and adventure creation skill for game masters and creative content creators. Helps design complete campaigns, adventures, NPCs, encounters, maps, and storylines tailored for tabletop play. Use this when designing D&D content, creating campaign worlds, developing adventure hooks, designing encounters, or building narrative structures for player tables.

Execute increment implementation following spec and plan - hooks run after EVERY task

doc-auditor

Layer 4 artifact for Behavior-Driven Development test scenarios using Gherkin Given-When-Then format

Create Data Contracts (CTR) - Optional Layer 9 artifact using dual-file format (.md + .yaml) for API/data contracts

Deep expertise for documentation lifecycle orchestration. Quality assessment frameworks, workflow patterns, delegation protocols, and release checklists. Auto-loads for doc-expert agent.

Fetch library and framework documentation via context7-mcp and fetch-mcp

This skill enables systematic, parallelized analysis of documentation using multiple specialized agents. It maximizes throughput by running independent sections in parallel while respecting dependenci

Lists and filters documentation files by type, status, tags, and date range with frontmatter parsing

Locate and retrieve specific documentation sections from DiPeO's docs/ by heading anchors or keywords. Returns minimal, targeted excerpts instead of full files. Use when you need precise documentation context without loading entire guides.

Documentation lifecycle management skill. Activates when user mentions documentation, docs, sync, quality, validation, releases, or setup. Routes to appropriate agent (doc-expert for orchestration, doc-writer for content) and provides gentle reminders about documentation health.

Efficiently navigate codebase documentation during Research phase. Use instead of Grep/Glob for finding architectural decisions, feature specs, and technical docs. Maps topics to doc locations for fast context retrieval. If codebase lacks documentation structure, provides patterns to establish one.

Apply Progressive Disclosure principles to organize large documentation projects. Restructure docs into hierarchical structure, reduce token usage by 95%+, and create README files for navigation.

Create Atomic Requirements (REQ) - Layer 7 artifact using REQ v3.0 format with 12 sections, SPEC-readiness scoring, and IMPL-readiness scoring

Token-efficient documentation search using Serena Document Index. 90%+ token savings vs reading full files. Use BEFORE reading README.md or docs/ files. Triggers on architecture questions, pattern lookups, and project-specific documentation needs.

Create Technical Specifications (SPEC) - Layer 10 artifact using YAML format for implementation-ready specifications

Create Task Breakdown (TASKS) - Layer 11 artifact decomposing SPEC into AI-structured TODO tasks

Meta-skill for converting external documentation into Claude Agent Skills with proper YAML frontmatter and structured instructions following the official specification.

Updates documentation after code changes to keep docs in sync with code reality. Use AFTER implementation is complete. Covers feature docs, workflow docs, and index files.

Use when user asks about 'documentation workflow', 'how to document', 'doc system', 'what is llmdoc', 'how does llmdoc work', or needs guidance on the documentation system.

DocETL is a system for creating LLM-powered data processing pipelines. This skill helps you build end-to-end pipelines: from data preparation to execution and optimization.

SOTA Docker/Compose architecture, implementation, refactor, and security hardening. Use when working on containerization tasks such as creating or rewriting Dockerfiles, docker-compose files, buildx/bake configs, .dockerignore, and CI pipelines for build/test/scan/publish; auditing existing container setups for security, correctness, size/perf, and best practices (least privilege, non-root, minimal images, pinned base images, BuildKit secrets, healthchecks); debugging Docker build/run issues; or designing dev vs prod compose workflows across services (DB/cache/queues) with correct networking, volumes, secrets, and resource limits.

Dockerizes backend projects with auto-detection, latest base images via web search, Dockerfile generation, and Makefile with port override support.

This skill provides guidance for efficiently building, testing, and working with

Docker build and test workflow with mandatory pre-push validation checklist to prevent CI/CD failures

Docker integration with CI/CD pipelines for automated builds, testing, and deployments

Operations for local container stacks defined in docker-compose.yaml or docker-compose/ directory. Handles AI/ML services (Ollama, ComfyUI), standalone databases, and local observability stacks. Use for 'docker compose' commands, checking container logs, or restarting specific local services. For cluster Grafana/Prometheus (via kubectl or cluster/manifests/), use kubernetes-operations instead.