Full multi-agent investigation workflow
Skills in this repository
jmagly/aiwg - Page 9
SkillsMP has collected 552 skills from jmagly/aiwg. Open a skill to review its source and details.
jmagly/aiwgShowing 40 of 552 collected skills.
Route marketing assets through multi-stakeholder approval chains with status tracking and escalation
Download research papers and extract metadata
Run a comprehensive health check on the AIWG installation and workspace with pass/fail diagnostics and remediation steps
Deploy AIWG frameworks and addons to the current workspace across supported providers
Detect requests for recursive decomposition and large-scale operations that benefit from RLM processing
Show status of RLM task tree execution
Dispatch the same query to multiple subagents in parallel across chunks in a manifest and aggregate results with source provenance
Merge multiple SOUL.md files into a composite persona for team-level agents or multi-perspective characters
Improve an existing SOUL.md by identifying vague sections, suggesting missing content, and generating calibration examples
Validate a SOUL.md file against community best practices and quality criteria
Locate an existing OpenProse installation via env var, AIWG config, local install, plugin manifest, or global CLI. Returns PROSE_ROOT; triggers prose-install if not found.
Install OpenProse for AIWG when not found. Tries `npx skills add`, falls back to git clone, then saves the resolved path to .aiwg/config.json.
Detect AI-generated writing patterns and suggest authentic alternatives. Use when reviewing or editing content, or when the user mentions authenticity or natural voice.
Forensic investigation of Docker, containerd/CRI-O, and Kubernetes — inventory, escape detection, eBPF runtime monitoring, RBAC and etcd audit. Use when investigating container compromise.
Correlate auth.log, syslog, journald, application, and web logs to detect brute force, privilege escalation, and lateral movement.
Decision aid for authentication factor architecture — have/know/are mapping, coercion resistance, FIDO2 PIN/UV policy, and PRF hot-path anti-patterns.
Decision aid for bootstrap and verification chains — forces the 'what authenticates the authenticator' question; patterns for signed bootstrap, measured boot, recovery.
Decision aid for choosing AEAD, KDF, MAC, and signature primitives — flags anti-patterns (CBC-without-MAC, ad-hoc KDF, key reuse, PBKDF2-on-high-entropy).
Threat library for physical-access threats STRIDE and OWASP Top 10 miss — evil-maid, DMA, hostile peripheral, travel-host, coercion, cold-boot, side-channel.
Decision aid for runtime secret hygiene — fd passing, scratch surface, error-path safety, identifier hygiene, and avoiding the SECRETS_ENV aggregation anti-pattern.
Decision aid for supply-chain trust beyond CVE/SBOM — pinning depth, reproducible builds, snapshot pins, firmware locking, and vendor+hash-lock for critical-path deps.
Decision-aid skill for fail-closed vs fail-open behavior. Forces a degraded-mode matrix and rejects "type Y to override" prompts in favor of multi-step ceremonies
Run a development-focused health check on the AIWG repository structure
Switch AIWG CLI to dev mode (local repo source), rebuild, deploy dev tools, and run a health check — all via the Steward agent
Create a new AIWG addon with AI-guided setup
Create a new AIWG extension (framework expansion pack) with AI-guided setup
Comma-separated phase names
Auto-fix discoverable issues
Validate addon, framework, or extension structure and manifest
Verify @file references in AIWG skills and agents against the linking contract — per-file or corpus-wide, with optional auto-fix
Validate an entire AIWG addon package for completeness and release readiness
Validate a single AIWG component (skill, agent, or command) for completeness and correctness
Run evaluation tests against an agent to assess quality and archetype resistance
Run evaluation tests against a multi-agent workflow to assess orchestration quality and failure archetype resistance
Reverse-engineer voice profiles from sample content by analyzing writing patterns
Combine multiple voice profiles with weighted mixing to create hybrid voices
Generate custom voice profiles from natural language descriptions by mapping tone, formality, and domain to voice dimensions
Threat hunt using Sigma rules against log sources
Extract and enrich indicators of compromise