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Aiwg Status

Community
jmagly
aiwg-status

Display workspace status dashboard showing installed frameworks, deployments, artifact counts, and health indicators

Overview

Publisherjmagly
Repositoryaiwg
Skill nameaiwg-status
Stars
225
Forks
34
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by jmagly on GitHub. Read the source before you install it.

Installation

Install the Aiwg Status AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/jmagly/aiwg/tree/main/agentic/code/addons/aiwg-utils/skills/aiwg-status
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/jmagly/aiwg.git /tmp/aiwg
mkdir -p .claude/skills
cp -r /tmp/aiwg/agentic/code/addons/aiwg-utils/skills/aiwg-status .claude/skills/aiwg-status
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aiwg Status in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Aiwg Status on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Aiwg Status is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Status

You display a comprehensive workspace inventory dashboard: registry-installed frameworks and addons with versions, deployed provider artifact directories, project-local bundles, .aiwg/ artifact counts by subdirectory, last sync time, and overall health indicators.

This skill is for workspace inventory / install health. It is not the cross-framework project status aggregator. If the user asks for project-status, "where are we?", "what is next?", or SDLC project progress, route through aiwg discover "project status" and load the project-status skill instructions instead.

Triggers

Alternate expressions and non-obvious activations (primary phrases are matched automatically from the skill description):

  • "what's installed" → framework/addon inventory
  • "how is my workspace" → health summary
  • "aiwg status" → full dashboard
  • "show me what's deployed" → provider deployment summary

Trigger Patterns Reference

PatternExampleAction
Full status"show workspace status"Run aiwg status
Quick health"is my workspace healthy?"Run aiwg status
Framework inventory"what frameworks are installed?"Run aiwg status
Artifact counts"how many requirements do I have?"Run aiwg status
Deployment check"what's deployed to copilot?"Run aiwg status
Project progress"project-status" / "where are we?"Do not run aiwg status; use aiwg discover "project status" then aiwg show skill project-status --body --first

Behavior

When triggered:

  1. Distinguish from doctor:

    • status is a read-only summary — it reports current state without running active checks or attempting repairs.
    • doctor runs active health checks and can suggest or apply fixes.
    • When users ask "is something wrong?", prefer doctor. When they ask "what do I have?", prefer status.
    • When users ask for project progress, SDLC phase, or next work, prefer project-status / project-health-check, not this workspace inventory command.
  2. Run the command:

    bash
    # Full status dashboard
    aiwg status
  3. What the dashboard shows:

    • Installed frameworks and addons from .aiwg/frameworks/registry.json (name, version, install date)
    • Deployed provider artifact directories (e.g., .claude/, .github/, .cursor/)
    • Project-local content bundles under .aiwg/{extensions,addons,frameworks}/ and delivery wrappers under .aiwg/plugins/
    • .aiwg/ artifact counts per subdirectory (requirements/: 4 files, architecture/: 2 files, etc.)
    • Last sync timestamp
    • Overall health indicator (OK / WARN / ERROR)
  4. Report the result — present the dashboard output inline; highlight any WARN or ERROR indicators.

Examples

Example 1: Full workspace status

User: "Show me the workspace status"

Extraction: Full status request

Action:

bash
aiwg status

Response:

AIWG Workspace Status
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Installed Frameworks (registry)
  sdlc-complete       v2026.3.15   installed 2026-03-20
  aiwg-utils          v2026.3.15   installed 2026-03-20
  voice-framework     v2026.3.15   installed 2026-03-20

Provider Deployments
  claude-code         .claude/          agents: 58   commands: 42
  copilot             .github/          agents: 58   prompts: 42

Project-local Bundles
  extensions          1 (agent-ops-control)

.aiwg/ Artifacts
  intake/             2 files
  requirements/       7 files
  architecture/       3 files
  planning/           2 files
  risks/              1 file
  testing/            4 files
  security/           1 file
  deployment/         0 files
  working/            5 files (temporary)
  reports/            2 files

Last sync: 2026-03-28 14:32 UTC
Health: OK

Example 2: Degraded state

User: "How is my workspace?"

Extraction: Health summary request

Action:

bash
aiwg status

Response: Reports status dashboard as above, but with Health: WARN — sdlc-complete may be outdated (last sync 8 days ago). Run \aiwg sync --dry-run` to check.`

Example 3: Artifact inventory question

User: "How many requirements files do I have?"

Extraction: Artifact count question; status provides this summary

Action:

bash
aiwg status

Response: Points to the .aiwg/ Artifacts section of the output: "You have 7 files in requirements/."

Example 4: After a fresh install

User: "What's installed?"

Extraction: Framework inventory request

Action:

bash
aiwg status

Response: Shows the Installed Frameworks (registry), Provider Deployments, and Project-local Bundles sections. If nothing is installed yet: "No frameworks installed. Run aiwg use sdlc to deploy the SDLC framework."

Clarification Prompts

If the user's intent is ambiguous:

  • "Are you looking for workspace inventory (aiwg status), active diagnostics (aiwg doctor), or project progress (project-status)?"

References

  • @$AIWG_ROOT/src/cli/handlers/workspace.ts — status command handler
  • @$AIWG_ROOT/docs/cli-reference.md — CLI reference
  • @$AIWG_ROOT/agentic/code/addons/aiwg-utils/skills/workspace-health/SKILL.md — Active workspace health checks

Frequently asked questions

What does the Aiwg Status AI skill do?

Display workspace status dashboard showing installed frameworks, deployments, artifact counts, and health indicators

Why use Aiwg Status on TypingMind?

Because you install it once and use it with any model. Aiwg Status is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Aiwg Status in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jmagly/aiwg/tree/main/agentic/code/addons/aiwg-utils/skills/aiwg-status. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Aiwg Status?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Aiwg Status?

As many as you like. As long as a model supports skills, you can use Aiwg Status with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Aiwg Status AI skill free?

Yes. It is published on GitHub by jmagly under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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