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Conductor Status

CommunityPopular
rmyndharis
conductor-status

Display project status, active tracks, and next actions

Overview

Publisherrmyndharis
Repositoryantigravity-skills
Skill nameconductor-status
Stars
1.7K
Forks
272
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 rmyndharis on GitHub. Read the source before you install it.

Installation

Install the Conductor 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/rmyndharis/antigravity-skills/tree/main/skills/conductor-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/rmyndharis/antigravity-skills.git /tmp/antigravity-skills
mkdir -p .claude/skills
cp -r /tmp/antigravity-skills/skills/conductor-status .claude/skills/conductor-status
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Conductor 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 Conductor 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 Conductor 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.

Conductor Status

Display the current status of the Conductor project, including overall progress, active tracks, and next actions.

Use this skill when

  • Working on conductor status tasks or workflows
  • Needing guidance, best practices, or checklists for conductor status

Do not use this skill when

  • The task is unrelated to conductor status
  • You need a different domain or tool outside this scope

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.

Pre-flight Checks

  1. Verify Conductor is initialized:

    • Check conductor/product.md exists
    • Check conductor/tracks.md exists
    • If missing: Display error and suggest running /conductor:setup first
  2. Check for any tracks:

    • Read conductor/tracks.md
    • If no tracks registered: Display setup complete message with suggestion to create first track

Data Collection

1. Project Information

Read conductor/product.md and extract:

  • Project name
  • Project description

2. Tracks Overview

Read conductor/tracks.md and parse:

  • Total tracks count
  • Completed tracks (marked [x])
  • In-progress tracks (marked [~])
  • Pending tracks (marked [ ])

3. Detailed Track Analysis

For each track in conductor/tracks/:

Read conductor/tracks/{trackId}/plan.md:

  • Count total tasks (lines matching - [x], - [~], - [ ] with Task prefix)
  • Count completed tasks ([x])
  • Count in-progress tasks ([~])
  • Count pending tasks ([ ])
  • Identify current phase (first phase with incomplete tasks)
  • Identify next pending task

Read conductor/tracks/{trackId}/metadata.json:

  • Track type (feature, bug, chore, refactor)
  • Created date
  • Last updated date
  • Status

Read conductor/tracks/{trackId}/spec.md:

  • Check for any noted blockers or dependencies

4. Blocker Detection

Scan for potential blockers:

  • Tasks marked with BLOCKED: prefix
  • Dependencies on incomplete tracks
  • Failed verification tasks

Output Format

Full Project Status (no argument)

================================================================================
                        PROJECT STATUS: {Project Name}
================================================================================
Last Updated: {current timestamp}

--------------------------------------------------------------------------------
                              OVERALL PROGRESS
--------------------------------------------------------------------------------

Tracks:     {completed}/{total} completed ({percentage}%)
Tasks:      {completed}/{total} completed ({percentage}%)

Progress:   [##########..........] {percentage}%

--------------------------------------------------------------------------------
                              TRACK SUMMARY
--------------------------------------------------------------------------------

| Status | Track ID          | Type    | Tasks      | Last Updated |
|--------|-------------------|---------|------------|--------------|
| [x]    | auth_20250110     | feature | 12/12 (100%)| 2025-01-12  |
| [~]    | dashboard_20250112| feature | 7/15 (47%) | 2025-01-15  |
| [ ]    | nav-fix_20250114  | bug     | 0/4 (0%)   | 2025-01-14  |

--------------------------------------------------------------------------------
                              CURRENT FOCUS
--------------------------------------------------------------------------------

Active Track:  dashboard_20250112 - Dashboard Feature
Current Phase: Phase 2: Core Components
Current Task:  [~] Task 2.3: Implement chart rendering

Progress in Phase:
  - [x] Task 2.1: Create dashboard layout
  - [x] Task 2.2: Add data fetching hooks
  - [~] Task 2.3: Implement chart rendering
  - [ ] Task 2.4: Add filter controls

--------------------------------------------------------------------------------
                              NEXT ACTIONS
--------------------------------------------------------------------------------

1. Complete: Task 2.3 - Implement chart rendering (dashboard_20250112)
2. Then: Task 2.4 - Add filter controls (dashboard_20250112)
3. After Phase 2: Phase verification checkpoint

--------------------------------------------------------------------------------
                               BLOCKERS
--------------------------------------------------------------------------------

{If blockers found:}
! BLOCKED: Task 3.1 in dashboard_20250112 depends on api_20250111 (incomplete)

{If no blockers:}
No blockers identified.

================================================================================
Commands: /conductor:implement {trackId} | /conductor:new-track | /conductor:revert
================================================================================

Single Track Status (with track-id argument)

================================================================================
                    TRACK STATUS: {Track Title}
================================================================================
Track ID:    {trackId}
Type:        {feature|bug|chore|refactor}
Status:      {Pending|In Progress|Complete}
Created:     {date}
Updated:     {date}

--------------------------------------------------------------------------------
                              SPECIFICATION
--------------------------------------------------------------------------------

Summary: {brief summary from spec.md}

Acceptance Criteria:
  - [x] {Criterion 1}
  - [ ] {Criterion 2}
  - [ ] {Criterion 3}

--------------------------------------------------------------------------------
                              IMPLEMENTATION
--------------------------------------------------------------------------------

Overall:    {completed}/{total} tasks ({percentage}%)
Progress:   [##########..........] {percentage}%

## Phase 1: {Phase Name} [COMPLETE]
  - [x] Task 1.1: {description}
  - [x] Task 1.2: {description}
  - [x] Verification: {description}

## Phase 2: {Phase Name} [IN PROGRESS]
  - [x] Task 2.1: {description}
  - [~] Task 2.2: {description}  <-- CURRENT
  - [ ] Task 2.3: {description}
  - [ ] Verification: {description}

## Phase 3: {Phase Name} [PENDING]
  - [ ] Task 3.1: {description}
  - [ ] Task 3.2: {description}
  - [ ] Verification: {description}

--------------------------------------------------------------------------------
                              GIT HISTORY
--------------------------------------------------------------------------------

Related Commits:
  abc1234 - feat: add login form ({trackId})
  def5678 - feat: add password validation ({trackId})
  ghi9012 - chore: mark task 1.2 complete ({trackId})

--------------------------------------------------------------------------------
                              NEXT STEPS
--------------------------------------------------------------------------------

1. Current: Task 2.2 - {description}
2. Next: Task 2.3 - {description}
3. Phase 2 verification pending

================================================================================
Commands: /conductor:implement {trackId} | /conductor:revert {trackId}
================================================================================

Status Markers Legend

Display at bottom if helpful:

Legend:
  [x] = Complete
  [~] = In Progress
  [ ] = Pending
  [!] = Blocked

Error States

No Tracks Found

================================================================================
                        PROJECT STATUS: {Project Name}
================================================================================

Conductor is set up but no tracks have been created yet.

To get started:
  /conductor:new-track "your feature description"

================================================================================

Conductor Not Initialized

ERROR: Conductor not initialized

Could not find conductor/product.md

Run /conductor:setup to initialize Conductor for this project.

Track Not Found (with argument)

ERROR: Track not found: {argument}

Available tracks:
  - auth_20250115
  - dashboard_20250112
  - nav-fix_20250114

Usage: /conductor:status [track-id]

Calculation Logic

Task Counting

For each plan.md:
  - Complete: count lines matching /^- \[x\] Task/
  - In Progress: count lines matching /^- \[~\] Task/
  - Pending: count lines matching /^- \[ \] Task/
  - Total: Complete + In Progress + Pending

Phase Detection

Current phase = first phase header followed by any incomplete task ([ ] or [~])

Progress Bar

filled = floor((completed / total) * 20)
empty = 20 - filled
bar = "[" + "#".repeat(filled) + ".".repeat(empty) + "]"

Quick Mode

If invoked with --quick or -q:

{Project Name}: {completed}/{total} tasks ({percentage}%)
Active: {trackId} - Task {X.Y}

JSON Output

If invoked with --json:

json
{
  "project": "{name}",
  "timestamp": "ISO_TIMESTAMP",
  "tracks": {
    "total": N,
    "completed": X,
    "in_progress": Y,
    "pending": Z
  },
  "tasks": {
    "total": M,
    "completed": A,
    "in_progress": B,
    "pending": C
  },
  "current": {
    "track": "{trackId}",
    "phase": N,
    "task": "{X.Y}"
  },
  "blockers": []
}

Frequently asked questions

What does the Conductor Status AI skill do?

Display project status, active tracks, and next actions

Why use Conductor Status on TypingMind?

Because you install it once and use it with any model. Conductor 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 Conductor Status in TypingMind?

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

Which AI models can use Conductor 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 Conductor Status?

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

Is the Conductor Status AI skill free?

Yes. It is published on GitHub by rmyndharis 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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