Skill rating

Query provenance chains and artifact relationships

Validate AIWG extension definitions against the metadata schema and report errors with field names, line numbers, and remediation hints

Ingest a source (URL, file, or freeform note) into the knowledge base. Creates a source summary and updates or creates relevant entity and concept pages.

Continuously identify, assess, track, and retire risks throughout the SDLC with register and RAG reporting

Execute an OpenProse program within the current AIWG session, following the two-phase model (Forme wiring + Prose VM execution)

Validate documentation for unsupported claims, made-up metrics, and unverifiable statements

Audit provider-facing context, trust, drift, poisoning signals, and budget, then manage the reviewed baseline through a plan-first public CLI workflow

One-command TDD infrastructure setup with pre-commit hooks and CI coverage gates

Orchestrate multi-loop background operations via the Mission Control dashboard — start sessions, dispatch missions, monitor, and stop

Validate phase gate criteria with multi-agent review and generate pass/fail reports

Set up personal AIWG customization mode from a local clone or fork — makes your clone the live global AIWG instance so edits go live immediately

Load, validate, and populate templates consistently across frameworks

Assemble media into thematic compilations, concert films, era playlists, and narrative experiences

View and manage agent loop reflections and episodic memory

Validate addon, framework, or extension structure and manifest

Interactive LLM inference pipeline design — elicits requirements, recommends pattern, scaffolds production-ready artifacts

Production prompt engineering — write, iterate, and refine prompts with built-in eval loop feedback

Run evaluation tests against a multi-agent workflow to assess orchestration quality and failure archetype resistance

Record an effect, sign an effect, reconcile an effect or check "did this PR merge" through the signed AIWG effect ledger, using one aiwg effect command with scriptable exit codes

List installed Claude Code marketplace plugins with version, install date, and enabled status

Generate an AIWG voice profile from an existing SOUL.md identity file

Validate a SOUL.md file against community best practices and quality criteria

Orchestrate type-flexible media curation from assessment and planning through acquisition, tagging/transcription, provenance, and verification

Attach to a running agent loop's live output stream

Query and manage the unified .aiwg/activity.log chronological record of AIWG-managed workflow operations

Scaffold a new document template inside an existing addon or framework

Analyze codebase and inject @-mentions for traceability

Display a comprehensive runtime environment report covering detected provider, available tools, AIWG version, and installed frameworks

Validate all @-mentions resolve to existing files

Assess workspace alignment and recommend cleanup or realignment actions at key lifecycle transition points

Generate an aggregate agent quality report from evaluation results, showing scores, regressions, and recommendations

Scaffold a new command definition inside an existing addon or framework

Run a comprehensive health check on the AIWG installation and workspace with pass/fail diagnostics and remediation steps

Show AIWG hook state across all installed providers

Show SOUL.md enforcement state across all installed providers with quality check

Run evaluation tests against an agent to assess quality and archetype resistance

Scaffold a project-local extension, addon, framework, plugin, or provider bundle under the configured AIWG artifact root.

Merge multiple SOUL.md files into a composite persona for team-level agents or multi-perspective characters

Build a Proof of Concept (PoC) to validate technical feasibility and retire architectural risks

Show daemon health, active sessions, task queue, and subsystem status

Generate traceability report from @-mentions

Cross-framework project status aggregator — discovers contributors from installed frameworks, runs declarative detection, produces a unified status report.

Scaffold a new agent definition file inside an existing addon or framework

Scaffold a new SKILL.md inside an existing addon or framework

Lint @-mentions for style consistency and correctness

Generate UAT completion report with tool coverage matrix, pass/fail metrics, and regression detection

Enable and configure the llm-wiki addon for long-term, long-form project memory, select a wiki profile, and route ingestion and health checks through the knowledge-base and semantic-memory capabilitie

Detect requests for UAT generation, execution, or reporting and invoke the appropriate UAT command

Generate deployment configurations (Docker, Kubernetes) for the current project

Build, query, inspect dependencies, sync Fortemi Core cache, and report status for the searchable index of SDLC artifacts in .aiwg/