aiwg-utils-quickref
AUTO-INVOKE for ANY AIWG capability question, framework/addon/extension query, steward routing, MCP profile, or when unsure where to start. ALWAYS consult before filesystem search on .claude/.factory/.codex/.warp/etc. AIWG core utilities quick reference — always-on framing, steward, index, meta operations.
What this skill does
# AIWG Core Utilities — Quick Reference
This is your always-loaded core directory for AIWG. It does **not** list every utility skill. Instead, it teaches the cross-cutting domains and gives you **curated search phrases** that map to `aiwg discover` lookups, plus a list of which framework-specific quickrefs are loaded.
## How to use this quickref
Walk the action hierarchy in order. The agent always prefers a **skill** over a raw CLI invocation:
1. **Priority 1 — Local skill or agent**: check if a skill already in your context handles the need (kernel skills listed below, framework quickrefs, deployed agents like `aiwg-steward` / `aiwg-finder`). These cost nothing to invoke.
2. **Priority 2 — Discovered skill**: if no local match, pick a **curated phrase** from a capability domain (or paraphrase the user's words), run `aiwg discover "<phrase>"`, surface the top match, and fetch its body with `aiwg show <type> <name>` — never `find` / `ls` / `Read`.
3. **Priority 3 — Raw CLI**: only when no skill exists at priorities 1 or 2, OR the command is on the discovery surface (`aiwg discover`, `aiwg show`, `aiwg list`, `aiwg version`, `aiwg runtime-info`), OR you are inside a skill that's calling the CLI as its step.
**Do not enumerate skills from memory.** AIWG ships hundreds of skills; you only see the kernel set in your context. See the [`cli-secondary` rule](../../rules/cli-secondary.md) for the full hierarchy and per-command pairings.
## The canonical pipeline: `discover → show`
Most AIWG skills (~385 of 400) are **not in your context** and are not in `<provider>/skills/` either — they stay at `$AIWG_ROOT` (no per-project copy by default, #1217). Two commands close the loop:
```bash
# 1. Find — returns ranked candidates with absolute paths
aiwg discover "<the user's need, paraphrased>"
# 2. Fetch — streams the SKILL.md body for the chosen candidate
aiwg show skill <name> # or: agent | command | rule
```
`discover` and `show` are designed to compose. **You should never need to navigate the filesystem to read AIWG content.** That's the whole point of the CLI.
### When the platform Skill tool errors
Most AIWG skills aren't kernel-listed, so the platform's Skill tool will reject them. This is expected behavior, not a bug. The fallback hierarchy:
1. **`aiwg show <type> <name>`** — primary fetch. Always works regardless of kernel status.
2. **`aiwg show <type> <name> --json`** — same fetch with `{ path, content }` envelope, useful for forwarding to a sub-agent.
3. **Read directly from `$AIWG_ROOT/agentic/code/`** — last-resort fallback. Only if the `aiwg` CLI itself is broken. The corpus at `$AIWG_ROOT/agentic/code/frameworks/<name>/skills/<skill>/SKILL.md` and `$AIWG_ROOT/agentic/code/addons/<name>/skills/<skill>/SKILL.md` is the canonical source — it is always present at the install root and survives any deploy-state corruption.
**Forbidden after `discover` returns a path**: running `find`, `ls`, `Glob`, or `Read` on a `<provider>/skills/` directory. Those reflect the kernel-pivot deploy state, not the full surface. Use `aiwg show`.
This is mandated by the `skill-discovery` HIGH rule. Surface the top match (or top-3) to the user — the search is auditable.
## Framework quickrefs (loaded if framework is installed)
If a user asks about a specific framework's surface, the corresponding quickref is your first stop. These are kernel-resident, so they're already in your context:
- `sdlc-quickref` — software-development-lifecycle workflows
- `forensics-quickref` — incident response and digital forensics
- `research-quickref` — research corpus and citation workflows
- `media-curator-quickref` — media archive management
- `marketing-quickref` — marketing operations and campaigns
- `ops-quickref` — operational infrastructure and runbooks
- `security-engineering-quickref` — applied security and crypto decisions
- `knowledge-base-quickref` — wiki and documentation workflows
If a quickref isn't loaded, the framework isn't installed in this project. Use `aiwg list` to confirm.
## Addons & extensions (separate kernel quickref)
For everything **outside the framework set** — the ~270 skills across 28 addons (loops, voice, memory, color, testing, NLP, etc.) and 7 ops extensions (sys/net/sec/dev/it/stream/api-adapter) — load `aiwg-language-map`. It's also kernel-resident and acts as the orientation layer for the addon/extension surface, with curated discover phrases per capability domain.
```
aiwg-language-map → addon capability domains + extension domains + cheat sheet
```
## Self-maintenance kernel (always loaded)
These ops **skills** are kernel-resident — already in your context regardless of `aiwg discover`. They are your primary surface for self-maintenance. Each skill carries the priming the bare CLI cannot — pre-flight checks, dry-run preview, preservation logic, recovery patterns.
> **Skills first, CLI second.** Each row below shows what the skill is for and the CLI command it calls under the hood. Invoke the skill — let it call the CLI. Direct CLI invocation skips the priming and is acceptable only on the discovery surface (Rule 2 of `cli-secondary`). See [`cli-secondary` rule](../../rules/cli-secondary.md) for the full policy.
| Skill (preferred) | Purpose | CLI it wraps |
|---|---|---|
| `steward` | Provider capability awareness + command routing | (no single CLI — orchestrates several) |
| `aiwg-doctor` | Installation health check + remediation | `aiwg doctor` |
| `aiwg-refresh` | Update CLI + redeploy frameworks with dry-run preview | `aiwg refresh` (alias: `aiwg sync`) |
| `aiwg-regenerate` | Regenerate AIWG.md + AGENTS.md preserving team directives | `aiwg regenerate` |
| `aiwg-status` | Workspace status dashboard | `aiwg status` |
| `aiwg-help` | List CLI commands, args, examples | `aiwg help` |
| `aiwg-issue` | Filing AIWG project issues (template, env, duplicate detection) | (no single CLI) |
| `aiwg-pr` / `aiwg-delivery-pr` | AIWG-specific delivery PRs only (delivery-policy, no-attribution, CI gate); not generic repository PR work | (no single CLI) |
| `use` | Deploy a framework or addon with validation gates | `aiwg use <name>` |
Pair with the `aiwg-steward` agent (always-deployed) for orchestrated repair: health check → refresh → re-doctor.
**Discovery commands stay direct** — `aiwg discover`, `aiwg show`, `aiwg list`, `aiwg version`, `aiwg runtime-info`, status/info subcommands. They have no paired "priming skill" because they ARE the priming entry points.
### Status intent disambiguation
Route these phrases carefully:
| User intent | Use |
|---|---|
| Workspace inventory, installed frameworks, deployed provider files | `aiwg-status` / `aiwg status` |
| Cross-framework project progress, "project-status", "where are we?", "what is next?" | `aiwg discover "project status"` → `aiwg show skill project-status --first` |
| SDLC-specific project health or lifecycle gate status | `aiwg discover "SDLC project health check"` and prefer `project-health-check` or `orchestrate-project` when those rank above generic workspace inventory |
Do not answer `project-status` by running only `aiwg status`; that command reports workspace install/deployment inventory, not project progress.
When a user wants to **file an AIWG product issue or open an AIWG delivery PR**, route them through `aiwg-issue` / `aiwg-pr` (or the explicit alias `aiwg-delivery-pr`) first. These are AIWG-specific kernel skills and reference `steward-prep-delivery` where applicable.
For generic repository PR work, use ordinary repository PR tooling and templates. Examples: "open a PR for this repo" → normal git/Gitea/GitHub PR flow; "open an AIWG delivery PR for this change" → `aiwg-pr`.
`aiwg-*` skills are AIWG-specific product/workspace capabilities. Do not route general tracker processing through `aiwg-issue`: use `issue-audit` / `audit-issues` for backlog audits and `address-issues` for implementation loops.
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