Skill rating

Configure TDD enforcement via pre-commit hooks and CI coverage gates. Use when setting up test-first workflows or adding coverage gates.

Route structured artifact work to AIWG workflows via MCP with zero parent context cost

Analyze GitHub repositories for structure, documentation, dependencies, and contribution patterns. Use for codebase understanding and health assessment.

Post-tag release publication verifier — given a tag, verify the published release surfaces (Gitea/GitHub release assets, SHA256SUMS and native package checksums, GHCR container images, installer dry-r

Manage bounded iteration loops for autonomous implementation — track retries, synthesize failure feedback, and escalate when limits hit

WCAG accessibility analysis for color palettes including contrast ratios, compliance checking, and remediation suggestions. Use when user needs to verify colors meet accessibility standards.

Auto-generate test data factories from schemas, types, or models. Use when creating test data infrastructure, setting up fixtures, or reducing test setup boilerplate.

Merge multiple documentation sources (docs, GitHub, PDF) with conflict detection. Use when combining docs + code for complete skill coverage.

Extract text, tables, and images from PDF files. Use when converting PDF documentation, manuals, or reports to searchable text.

Verify the full refinement chain from use cases through behavioral specs, pseudo-code specs, code, and tests — report coverage at each layer and identify gaps

Split large documentation (10K+ pages) into focused sub-skills with intelligent routing. Use for massive doc sites like Godot, AWS, or MSDN.

Create a new extension package inside an existing framework's extensions/ directory. Use when authoring an expansion (extension) for AIWG.

Create a complete framework package structure inside agentic/code/frameworks/. Use when authoring an expansion (framework) for AIWG.

Scrape documentation websites into organized reference files. Use when converting docs sites to searchable references or building Claude skills.

Identify flaky tests from CI history and test execution patterns. Use when debugging intermittent test failures, auditing test reliability, or improving CI stability.

Build Claude skills from extracted documentation. Use after doc-scraper/pdf-extractor to generate uploadable skill packages.

Recommends the right LLM pipeline pattern for a use case — simple chain, embedded agent, state machine, RAG, eval loop, or dynamic prompt

Suggest and apply fixes for flaky tests based on detected patterns. Use after flaky-detect identifies unreliable tests that need repair.

Detect orphaned tests, obsolete assertions, and test-code misalignment. Use for test suite maintenance, cleanup, and traceability validation.

Create a complete addon package structure inside agentic/code/addons/. Use when authoring an expansion (addon) for AIWG.

Generate a SOUL.md identity file from source material, interactive prompts, or an existing voice profile. Use when authoring a persona / soul identity.

Transform standard technical content into ROKO voice — dense technical mythology wrapped in cypherpunk cultural narrative

AUTO-INVOKE when user mentions cryptography, AEAD, KDF, chain of trust, signing key, auth factor, MFA, secret hygiene, supply chain trust, physical threat, DFIR readiness, or incident evidence handoff

Execute JavaScript/TypeScript tests with Vitest, supporting coverage, watch mode, and parallel execution. Use for JS/TS test automation.

Execute Python tests with pytest, supporting fixtures, markers, coverage, and parallel execution. Use for Python test automation.

Review GitHub pull requests for code quality, security, and best practices. Use for automated PR feedback and approval workflows.

Forensic investigation of Docker, containerd/CRI-O, and Kubernetes — inventory, escape detection, eBPF runtime monitoring, RBAC and etcd audit. Use when investigating container compromise.

AUTO-INVOKE when user mentions knowledge base, wiki, KB, semantic memory, llm-wiki, knowledge ingest, document corpus. Knowledge-base framework quick reference — discovery phrases for KB ingest/health

AUTO-INVOKE when user mentions marketing, campaign, brand, content production, audience persona, copy, social media, marketing intake, approval workflow. Marketing framework quick reference — discover

AUTO-INVOKE when user mentions forensics, incident response, IOC, log analysis, evidence preservation, breach investigation, threat hunting, attack timeline. Forensics framework quick reference — disc

AUTO-INVOKE when user mentions media curation, discography, archive, music collection, video/audio collection, source acquisition, metadata tagging, transcript, Plex, Jellyfin, MPD. Media-curator fram

AUTO-INVOKE when user mentions research, paper, citation, GRADE, corpus, provenance, literature review, induct paper, induct media, video/audio research, timestamp citations, evidence, bibliography. R

Review editorial phrase patterns and suggest contextual alternatives; legacy name does not imply authorship detection. Use when reviewing or editing content, or when the user mentions authenticity or

Detect and use llms.txt files for LLM-optimized documentation. Use when checking if a site has LLM-ready docs before scraping.

Generate W3C PROV-compliant provenance records automatically when agents create or modify artifacts

Trigger GRADE quality assessment automatically when new research sources or findings enter the corpus

Trigger Tree of Thoughts exploration when agents face architectural decisions with multiple valid approaches

AUTO-INVOKE when user mentions SDLC, requirements, architecture, ADR, use case, user story, test plan, phase gate, inception, elaboration, construction, transition, intake, deploy. SDLC framework quic

Automatically execute tests when code-generating agents modify source files, enforcing the execute-before-return pattern

Validate skill quality, completeness, and adherence to standards. Use before packaging to ensure skill meets quality requirements.

Run mutation testing to validate test quality beyond code coverage. Use when assessing test effectiveness, finding weak tests, or validating test suite quality.

AI-powered enhancement of skill SKILL.md files. Use to transform basic templates into comprehensive, high-quality skill documentation.

Package skills into uploadable ZIP files for Claude. Use after skill-builder/skill-enhancer to create final upload package.

Health-check any consumer's semantic memory by composing structural and domain-specific checks

Route natural language requests to appropriate skills and workflows by parsing intent and matching trigger patterns

Scaffold a new AIWG-managed project with .aiwg/ directory structure, starter CLAUDE.md, and framework registry. Use when creating or scaffolding a new project.

Run ESLint for JavaScript/TypeScript code quality and style enforcement. Use for static analysis and auto-fixing.

Create, manage, and validate Python virtual environments. Use for project isolation and dependency management.

Guide or repair a headless Linux AIWG Cockpit plus Agentic Sandbox deployment when host topology, SSH access, service persistence, or runtime readiness must be planned safely.

Use when a project needs DFIR readiness from the security-engineering side: prepare incident evidence handling, chain-of-custody expectations, IOC readiness, and handoff to forensics-complete without