Update project CLAUDE.md with AIWG framework context and configuration
Skills in this repository
jmagly/aiwg - Page 6
SkillsMP has collected 552 skills from jmagly/aiwg. Open a skill to review its source and details.
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Setup Warp Terminal with AIWG framework context (preserves existing content)
Update AGENTS.md with project-specific context for Factory AI based on codebase analysis
Update existing project CLAUDE.md with latest AIWG orchestration guidance
Update existing project WARP.md with latest AIWG orchestration guidance
Capture a query answer and file it as a persistent artifact in .aiwg/working/answers/ with promotion guidance to a permanent destination.
Build or rebuild the SDLC artifact index for agent-navigable discovery
Build a Proof of Concept (PoC) to validate technical feasibility and retire architectural risks
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
Audit codebase for dead code, unused exports, orphaned files, and stale manifests
Scan source code and report agent-readiness metrics with actionable recommendations
CI-friendly complexity enforcement gate returning pass/fail results for pipeline integration
Generate a human-readable manifest for an AIWG skill chain — agent assignments, requires/ensures contracts, data flow, and parallelization opportunities.
Validate that an AIWG skill chain has all requires inputs satisfied by upstream ensures outputs. Catches missing dependencies at wiring time, not runtime.
Synchronize documentation and code with bounded, scope-first drift checks
Orchestrate continuous security validation, threat modeling, vulnerability management, and security gate enforcement across SDLC phases
Scan existing codebase and generate intake documents by analyzing code, dependencies, and infrastructure. Accepts optional guidance text to tailor analysis.
Ingest the Project Intake Form and kick off Concept → Inception with agent assignments, accepts optional guidance to tailor process
Generate or complete intake forms (project-intake, solution-profile, option-matrix) with interactive questioning and optional guidance. INTENDED FOR SUBSTANTIAL NEW WORK — new addons, new frameworks, new tracks, refactors crossing module boundaries — not…
Audit and triage general issue backlogs with read-only defaults, interactive cleanup decisions, and guidance steering; use this for "audit open issues" instead of aiwg-issue
Mark an issue as complete with comprehensive summary and verification
Add structured comments to issues using templates for progress, feedback, or blockers
Create a new ticket/issue with configurable backend (Gitea, GitHub, Jira, Linear, or local files)
List and filter tickets/issues from configured backend
Research-grounded SDLC issue planner — dispatches parallel research, generates the supporting doc corpus, then files prioritized cross-referenced issues for human review.
Automatically detect and update linked issues based on commits, artifacts, and task events
Update existing ticket/issue with status changes, comments, or field updates
Compare current behavior against baseline to detect regressions
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-run from the real release URL) and emit issue-comment-ready…
End-to-end SDLC ramp-up from idea to construction-ready with automated phase transitions and focused gate questions
Enforce minimum security criteria before iteration close or release
Generate or update the agentic environment definition for AgentSmith, SkillSmith, and CommandSmith
Generate MCP environment definition for MCPSmith with Docker and Node.js verification
Generate system definition file for ToolSmith with tested OS commands
Scaffold endurance, stress, and adversarial-input tests that reveal degradation rather than immediate crashes
Scan source code for banned APIs/forbidden functions per project banlist; report violations with paths, line numbers, and recommended replacements
Scan tracked repository files for committed binary blobs and report reviewability/provenance exceptions
Audit source-control organization settings for strong 2FA/MFA requirements across all committers
Detect bidi controls, zero-width characters, mixed-script identifiers, and homoglyph risks in source and release metadata
Compare API/ABI surfaces between refs, flag incompatible changes, and generate deprecation/changelog notes for library projects