jmagly AIWG Language Map — Addons + Extensions
This is your always-loaded directory for the AIWG addon and extension surface. It's the orientation layer for the ~214 skills that live outside the 8 frameworks. Frameworks have their own per-framework quickrefs (sdlc-quickref, forensics-quickref, etc.); this map covers everything else: addons (utilities, loops, voice, testing, etc.) and ops extensions (sys/net/sec/dev/it/stream).
How to use this map
- Identify which capability domain below the user's need belongs to
- Pick a curated phrase from that domain
- Run
aiwg discover "<phrase>"and surface the top match (or top-3) to the user - Fetch the body with
aiwg show skill <name>— neverfind/ls/Readon storage paths
If a phrase doesn't fit the user's exact need, paraphrase. aiwg discover is forgiving with natural language.
The discover→show pattern is mandatory. See aiwg-utils-quickref for the canonical pipeline and skill-discovery HIGH rule for enforcement.
Map layout
The map has two sections:
- Addon capability domains — user-need clusters (memory, loops, voice, etc.) routed to addons
- Extension domains — operational scopes (sys, net, sec, etc.) for
ops-complete
Each section opens with an explicit aiwg discover "<phrase>" example. Table rows underneath show bare phrases — pass them straight to aiwg discover (the verb is implied by the section header). Phrases have been verified against the index; each surfaces the listed bundle in the top results.
Addon capability domains
Dataset intelligence, indexing & provenance
When a user points AIWG at files, an API, a corpus, or another dataset and asks for search, indexing, traceability, provenance, lineage, synchronization, or safe retirement—even when they do not know those terms.
Example: aiwg discover "make this searchable". Phrases below pass straight to
aiwg discover.
| Need | Phrase | Bundle |
|---|---|---|
| Start from only a source and outcome | use this data |
dataset-intelligence |
| Recommend custom indexing safely | make this searchable |
dataset-intelligence |
| Add evidence-bearing traceability | trace this dataset |
dataset-intelligence |
| Explain record or field lineage | where did this record come from |
dataset-intelligence |
| Verify freshness and provenance | verify this dataset |
dataset-intelligence |
| Resume an incremental source | sync this source |
dataset-intelligence |
| Retire data and derived artifacts safely | retire this dataset |
dataset-intelligence |
The same governed intake and handoff envelopes serve SDLC, research,
knowledge-base, media, marketing, ops, and project-local bundles. All execution
delegates to aiwg dataset; the addon does not create a shadow runtime.
Schemas & data contracts
When the user describes a record, configuration file, event, API payload, message, import/export, or other structured data—even when they do not know to ask for a schema.
Example: aiwg discover "define data shape". Phrases below pass straight to
aiwg discover.
| Need | Phrase | Bundle |
|---|---|---|
| Decide whether structured data needs a contract | define data shape |
schema-governance |
| Explain schemas and continue examples-first | why do I need a schema |
schema-governance |
| Author and register a canonical schema | create a schema |
schema-governance |
| Evolve an existing contract safely | change an existing schema |
schema-governance |
| Review correctness and readiness | review a data contract |
schema-governance |
The SDLC discovery track invokes this addon automatically for persistent or exchanged data. Users should describe the data need; they need not choose a dialect, identifier, lifecycle, or compatibility policy themselves.
Loops & iteration
When the user needs an iterative coding loop, recursive context decomposition, eval gates, or guided autonomous implementation.
Example: aiwg discover "ralph loop". Phrases below pass straight to aiwg discover.
| Need | Phrase | Bundle |
|---|---|---|
| Iterative AI coding loop (Ralph) | ralph loop |
agent-loop |
| Loop status / abort / resume / attach | ralph attach (or ralph abort / ralph resume / ralph status) |
agent-loop |
| External crash-resilient loop variant | ralph external loop |
agent-loop |
| Recursive decomposition of a huge corpus | rlm query |
rlm |
| RLM batch processing with parallel sub-agents | rlm batch fan-out |
rlm |
| Bounded autonomous issue-to-code | guided implementation |
guided-implementation |
| Inner generator/critic eval loop in a pipeline | eval loop |
nlp-prod |
| KAMI-based agent quality eval framework | agent quality eval |
aiwg-evals |
Session history and exploration
Use aiwg discover "spelunk session data" to find catalog exploration. Useful
phrases include search past conversations, trace session tool calls,
compare provider sessions, and harvest session decisions. session-explore
handles search, timelines, analytics, citations and coverage; session-harvest
handles candidate review and promotion. session-analyst and the
session-investigation flow compose bounded evidence collection and synthesis.
The singular session launcher and cost-history telemetry serve different needs.
Memory & state
When the user needs persistent agent memory, semantic ingestion, or context curation.
Example: aiwg discover "memory ingest". Phrases below pass straight to aiwg discover.
| Need | Phrase | Bundle |
|---|---|---|
| Semantic memory ingest | memory ingest |
semantic-memory |
| Lint memory entries | semantic memory lint |
semantic-memory |
| Capture / query memory | memory query |
semantic-memory |
| Filter context to remove distractors | filter distractors from context |
context-curator |
llm-wikihas a first-class discoverable driver for profile selection and activation; its topology composes with the knowledge-base framework and semantic-memory drivers.auto-memoryremains a template bundle pending its own operational driver.
Voice & writing quality
When the user is producing or reviewing prose and needs voice consistency, AI-pattern detection, or related text quality work.
Example: aiwg discover "apply voice profile". Phrases below pass straight to aiwg discover.
| Need | Phrase | Bundle |
|---|---|---|
| Apply a voice profile to existing content | apply voice profile |
voice-framework |
| Create a new voice profile | create voice profile |
voice-framework |
| Blend two voices | blend voice profiles |
voice-framework |
| Analyze content's current voice | analyze voice |
voice-framework |
| Detect AI-pattern artifacts in writing | ai pattern detection |
writing-quality |
| Improve output diversity (verbalized sampling) | verbalized sampling |
verbalized-sampling |
NLP & inference pipelines
When the user is building or optimizing LLM inference systems.
Example: aiwg discover "pipeline architect". Phrases below pass straight to aiwg discover.
| Need | Phrase | Bundle |
|---|---|---|
| LLM inference pipeline architecture | pipeline architect |
nlp-prod |
| Pipeline pattern selection | pipeline pattern |
nlp-prod |
| Cost optimizer for LLM workloads | llm cost optimizer |
nlp-prod |
| Eval-loop generator/critic | eval loop |
nlp-prod |
| Productionize an inference pipeline | pipeline productionize |
nlp-prod |
| Prompt engineering | prompt engineer |
nlp-prod |
Documentation intelligence
When the user is scraping, extracting, or analyzing documentation as a corpus.
Example: aiwg discover "doc analyst". Phrases below pass straight to aiwg discover.
| Need | Phrase | Bundle |
|---|---|---|
| Coordinate doc analysis (master orchestrator) | doc analyst |
doc-intelligence |
| Scrape documentation sites | doc scraper |
doc-intelligence |
| Extract from PDFs | pdf extractor |
doc-intelligence |
| Run an OpenProse program | prose run |
prose-integration |
| Validate / parse a Prose program | prose validate |
prose-integration |
Testing & quality
When the user needs test enforcement, UAT, or quality automation.
Example: aiwg discover "tdd enforce". Phrases below pass straight to aiwg discover.
| Need | Phrase | Bundle |
|---|---|---|
| TDD enforcement / test gates | tdd enforce |
testing-quality |
| Mutation testing analyst | mutation analyst |
sdlc-complete (agent) |
| Mutation test runner | mutation test |
testing-quality |
| UAT plan generation via MCP | uat plan |
uat-mcp |
| UAT execution via MCP | uat execute |
uat-mcp |
Skill / extension authoring
When the user is building new AIWG content (skills, addons, framework changes).
Example: aiwg discover "skill architect". Phrases below pass straight to aiwg discover.
| Need | Phrase | Bundle |
|---|---|---|
| End-to-end skill creation orchestrator | skill architect |
skill-factory |
| Build a skill | skill builder |
skill-factory |
| Enhance / validate / package a skill | skill packager |
skill-factory |
| Validate an AIWG addon | validate addon |
aiwg-dev |
| Validate a framework component | validate component |
aiwg-dev |
| AIWG devkit build helpers | devkit build |
aiwg-dev |
| Link-check across docs | link check |
aiwg-dev |
Color & UX
When the user needs color theory or palette tooling.
Example: aiwg discover "color palette". Phrases below pass straight to aiwg discover.
| Need | Phrase | Bundle |
|---|---|---|
| Generate or review a color palette | color palette |
color-palette |
| Color theory fundamentals reference | color theory |
color-palette |
| Accessibility / contrast review | color accessibility |
color-palette |
Daemon & background work
When the user needs persistent sessions or background orchestration.
Example: aiwg discover "daemon init". Phrases below pass straight to aiwg discover.
| Need | Phrase | Bundle |
|---|---|---|
| Concierge daemon entry / init | daemon init |
aiwg-utils |
| Concierge agent (front-of-house) | concierge daemon |
daemon |
| Mission Control (background mission orchestrator) | mc dispatch |
agent-loop |
| Star-prompt for repo recommendations | star prompt |
star-prompt |
Setup & installer
When the user is bootstrapping a project or installing AIWG itself.
Example: aiwg discover "setup manifest generate". Phrases below pass straight to aiwg discover.
| Need | Phrase | Bundle |
|---|---|---|
| Generate a reproducible installer manifest | setup manifest generate |
agentic-installer |
| Validate / run a setup manifest | setup manifest validate run |
agentic-installer |
Hooks & integration
When the user needs platform-level lifecycle hooks, HITL gates, or external bridges.
Example: aiwg discover "hitl patterns". Phrases below pass straight to aiwg discover.
| Need | Phrase | Bundle |
|---|---|---|
| HITL gate patterns (rule) | hitl patterns |
sdlc-complete (rule) |
| HITL gates (rule, ensemble review) | hitl gates |
sdlc-complete (rule) |
| Factory AI compat agent | factory compat |
sdlc-complete (agent) |
aiwg-hooks,agent-persistence, anddroid-bridgenow expose discoverable activation drivers. Their low-level hooks, HITL gates, and MCP server remain implementation artifacts reached through those drivers.
Core meta-utilities
For everything else AIWG-internal — context regeneration, workspace management, index/query, validation, and project-status surfaces — see aiwg-utils-quickref. It's already loaded; this map points back at it.
Extension domains (ops-complete)
Operational extensions live under agentic/code/extensions/<domain>/ and extend ops-complete. They carry both skills AND rules. The framework-level ops-quickref lists the high-level extension model; this section gives you direct phrases.
Each block opens with one explicit aiwg discover example; remaining phrases are bare — pass straight to aiwg discover.
sys — per-host operations
Hardware, OS, boot chains, fleet host documentation, immutable bases, hardware safety procedures.
aiwg discover "sys host profile" # → sys-host-profiler agent (1.00)
sys host audit # → sys-host-audit skill
luks tpm dual phase # → sec-luks-dual-phase rule (sys+sec border)
sys host independence # → sys-host-independence rule
net — network operations
VLANs, DNS, firewalls, Cloudflare tunnels, UniFi config, network state authority, cert expiry gates, tunnel safety.
aiwg discover "vlan audit" # → net-vlan-audit (1.00)
net dns check # → net-dns-check skill
net change blast radius # → net-change-blast-radius rule
tunnel safety # → net-tunnel-safety rule
net state authority # → net-state-authority rule
sec — security operations
PKI, LUKS, TPM2, YubiKey, SSH CA, access auditing, cert expiry gates, key material handling.
aiwg discover "sec cert scan" # → sec-cert-scan
sec access snapshot # → sec-access-snapshot
sec access audit frequency # → sec-access-audit-frequency rule
sec cert expiry gate # → sec-cert-expiry-gates rule
key material handling # → sec-key-material-handling rule
sec luks dual phase # → sec-luks-dual-phase rule
dev — CI/CD and build automation
Pipeline safety, idempotent builds, secret hygiene, self-contained CI builders.
aiwg discover "pipeline safety ci" # → dev-pipeline-safety rule
idempotent build # → dev-idempotent-builds rule
ci secret hygiene # → dev-secret-hygiene rule
self contained ci builder # → dev-ci-self-contained rule
it — IT ops, CMDB, asset management
Asset registry, service deployments, disaster recovery, change control, asset authority, DR validation.
aiwg discover "it asset sync" # → it-asset-sync skill (0.81)
it asset authority # → it-asset-authority rule
it service health # → it-service-health rule
it dr validation # → it-dr-validation rule
it change control # → it-change-control rule
stream — streaming media operations
Transcoders, restreaming, platform integrations, stream pipeline gates.
aiwg discover "stream deploy" # → stream-deploy skill
stream pipeline gates # → stream-pipeline-gates rule
stream safety # → stream-safety rule
api-adapter — external API integrations
Reserved for external API adapter scaffolding. Currently a placeholder bundle with no skills or rules; phrases will appear as adapters are added.
Categories at a glance (cheat sheet)
When you don't know which domain a need falls into:
| If the user mentions... | Look in... |
|---|---|
| "loop", "iterate", "ralph", "recursive", "decompose huge file" | Loops & iteration |
| "remember", "memory", "context", "wiki", "ingest" | Memory & state |
| "voice", "writing style", "AI pattern", "diversity", "samples" | Voice & writing quality |
| "inference", "pipeline cost", "model selection" | NLP & inference pipelines |
| "documentation scrape", "extract from PDF", "Prose program" | Documentation intelligence |
| "test enforcement", "TDD", "UAT", "MCP test" | Testing & quality |
| "build a skill", "scaffold addon", "framework dev" | Skill / extension authoring |
| "color", "palette", "contrast", "WCAG" | Color & UX |
| "daemon", "background mission", "mission control" | Daemon & background work |
| "installer", "setup manifest", "bootstrap" | Setup & installer |
| "hooks", "permissions", "session", "droid", "HITL" | Hooks & integration |
| "host", "BIOS", "boot chain", "OS install" | Extensions / sys |
| "VLAN", "DNS", "firewall", "tunnel" | Extensions / net |
| "cert", "LUKS", "YubiKey", "PKI", "access audit" | Extensions / sec |
| "CI", "pipeline", "build", "secret in workflow" | Extensions / dev |
| "CMDB", "asset", "DR", "service deploy", "change control" | Extensions / it |
| "transcoder", "restream", "live broadcast" | Extensions / stream |
Project-local extensions (pilot → promote)
Addons, extensions, and frameworks don't all have to come from upstream. Users can pilot content bundles per-project under .aiwg/{extensions,addons,frameworks}/<name>/, validate them, then promote to upstream when mature. Use .aiwg/plugins/<name>/ only when wrapping a bundle for marketplace delivery. Curated phrases:
aiwg new-bundle <name> # scaffold; auto-builds project graph
aiwg new-extension <name> --starter rule # extension with starter rule
aiwg new-addon <name> # addon
aiwg new-framework <name> # framework
aiwg new-plugin <name> # marketplace delivery wrapper
aiwg new-bundle <name> --dry-run # preview without writing
aiwg list --project-local # inventory + validation status
aiwg doctor --project-local # health check (counts, drift, shadows)
aiwg use <name> # deploy single project-local bundle
aiwg promote <name> # graduate to upstream (hash-verified)
aiwg promote <name> --to corpus <path> # promote to private corpus instead
aiwg promote <name> --dry-run # preview promotion
After scaffolding, the bundle is immediately discoverable via aiwg discover "<name>" — the project graph is rebuilt automatically. No manual aiwg index build --graph project step needed.
When this map doesn't have a phrase that fits
Don't enumerate from memory. Run aiwg discover with the user's natural-language phrasing — the index is forgiving. If you get zero results, try:
- A broader phrase (e.g., drop a noun)
- A different vocabulary (e.g., "deploy" vs "publish" vs "release")
aiwg index stats --graph frameworkto confirm the index is built and populated- Check whether the bundle is even installed via
aiwg list - If the workspace has project-local bundles, also check
aiwg index stats --graph project
If after that the capability genuinely doesn't exist, you can tell the user honestly — but only after the search ran and came up empty. The skill-discovery HIGH rule mandates the search before declining.
See also
aiwg-utils-quickref— core meta-utility surface and the canonical discover→show pipeline- Per-framework quickrefs:
sdlc-quickref,forensics-quickref,research-quickref,media-curator-quickref,marketing-quickref,ops-quickref,security-engineering-quickref,knowledge-base-quickref skill-discoveryHIGH rule — discovery is mandatory before declining or improvising