Conductor Implement logo

Conductor Implement

CommunityPopular
rmyndharis
conductor-implement

Execute tasks from a track's implementation plan following TDD workflow

Overview

Publisherrmyndharis
Repositoryantigravity-skills
Skill nameconductor-implement
Stars
1.6K
Forks
264
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 Implement 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.
  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-implement .claude/skills/conductor-implement
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Conductor Implement 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 Implement 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 Implement 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.

Implement Track

Execute tasks from a track's implementation plan, following the workflow rules defined in conductor/workflow.md.

Use this skill when

  • Working on implement track tasks or workflows
  • Needing guidance, best practices, or checklists for implement track

Do not use this skill when

  • The task is unrelated to implement track
  • 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/workflow.md exists
    • Check conductor/tracks.md exists
    • If missing: Display error and suggest running /conductor:setup first
  2. Load workflow configuration:

    • Read conductor/workflow.md
    • Parse TDD strictness level
    • Parse commit strategy
    • Parse verification checkpoint rules

Track Selection

If argument provided:

  • Validate track exists: conductor/tracks/{argument}/plan.md
  • If not found: Search for partial matches, suggest corrections

If no argument:

  1. Read conductor/tracks.md

  2. Parse for incomplete tracks (status [ ] or [~])

  3. Display selection menu:

    Select a track to implement:
    
    In Progress:
    1. [~] auth_20250115 - User Authentication (Phase 2, Task 3)
    
    Pending:
    2. [ ] nav-fix_20250114 - Navigation Bug Fix
    3. [ ] dashboard_20250113 - Dashboard Feature
    
    Enter number or track ID:

Context Loading

Load all relevant context for implementation:

  1. Track documents:

    • conductor/tracks/{trackId}/spec.md - Requirements
    • conductor/tracks/{trackId}/plan.md - Task list
    • conductor/tracks/{trackId}/metadata.json - Progress state
  2. Project context:

    • conductor/product.md - Product understanding
    • conductor/tech-stack.md - Technical constraints
    • conductor/workflow.md - Process rules
  3. Code style (if exists):

    • conductor/code_styleguides/{language}.md

Track Status Update

Update track to in-progress:

  1. In conductor/tracks.md:

    • Change [ ] to [~] for this track
  2. In conductor/tracks/{trackId}/metadata.json:

    • Set status: "in_progress"
    • Update updated timestamp

Task Execution Loop

For each incomplete task in plan.md (marked with [ ]):

1. Task Identification

Parse plan.md to find next incomplete task:

  • Look for lines matching - [ ] Task X.Y: {description}
  • Track current phase from structure

2. Task Start

Mark task as in-progress:

  • Update plan.md: Change [ ] to [~] for current task
  • Announce: "Starting Task X.Y: {description}"

3. TDD Workflow (if TDD enabled in workflow.md)

Red Phase - Write Failing Test:

Following TDD workflow for Task X.Y...

Step 1: Writing failing test
  • Create test file if needed
  • Write test(s) for the task functionality
  • Run tests to confirm they fail
  • If tests pass unexpectedly: HALT, investigate

Green Phase - Implement:

Step 2: Implementing minimal code to pass test
  • Write minimum code to make test pass
  • Run tests to confirm they pass
  • If tests fail: Debug and fix

Refactor Phase:

Step 3: Refactoring while keeping tests green
  • Clean up code
  • Run tests to ensure still passing

4. Non-TDD Workflow (if TDD not strict)

  • Implement the task directly
  • Run any existing tests
  • Manual verification as needed

5. Task Completion

Commit changes (following commit strategy from workflow.md):

bash
git add -A
git commit -m "{commit_prefix}: {task description} ({trackId})"

Update plan.md:

  • Change [~] to [x] for completed task
  • Commit plan update:
bash
git add conductor/tracks/{trackId}/plan.md
git commit -m "chore: mark task X.Y complete ({trackId})"

Update metadata.json:

  • Increment tasks.completed
  • Update updated timestamp

6. Phase Completion Check

After each task, check if phase is complete:

  • Parse plan.md for phase structure
  • If all tasks in current phase are [x]:

Run phase verification:

Phase {N} complete. Running verification...
  • Execute verification tasks listed for the phase
  • Run full test suite: npm test / pytest / etc.

Report and wait for approval:

Phase {N} Verification Results:
- All phase tasks: Complete
- Tests: {passing/failing}
- Verification: {pass/fail}

Approve to continue to Phase {N+1}?
1. Yes, continue
2. No, there are issues to fix
3. Pause implementation

CRITICAL: Wait for explicit user approval before proceeding to next phase.

Error Handling During Implementation

On Tool Failure

ERROR: {tool} failed with: {error message}

Options:
1. Retry the operation
2. Skip this task and continue
3. Pause implementation
4. Revert current task changes
  • HALT and present options
  • Do NOT automatically continue

On Test Failure

TESTS FAILING after Task X.Y

Failed tests:
- {test name}: {failure reason}

Options:
1. Attempt to fix
2. Rollback task changes
3. Pause for manual intervention

On Git Failure

GIT ERROR: {error message}

This may indicate:
- Uncommitted changes from outside Conductor
- Merge conflicts
- Permission issues

Options:
1. Show git status
2. Attempt to resolve
3. Pause for manual intervention

Track Completion

When all phases and tasks are complete:

1. Final Verification

All tasks complete. Running final verification...
  • Run full test suite
  • Check all acceptance criteria from spec.md
  • Generate verification report

2. Update Track Status

In conductor/tracks.md:

  • Change [~] to [x] for this track
  • Update the "Updated" column

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

  • Set status: "complete"
  • Set phases.completed to total
  • Set tasks.completed to total
  • Update updated timestamp

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

  • Update header status to [x] Complete

3. Documentation Sync Offer

Track complete! Would you like to sync documentation?

This will update:
- conductor/product.md (if new features added)
- conductor/tech-stack.md (if new dependencies added)
- README.md (if applicable)

1. Yes, sync documentation
2. No, skip

4. Cleanup Offer

Track {trackId} is complete.

Cleanup options:
1. Archive - Move to conductor/tracks/_archive/
2. Delete - Remove track directory
3. Keep - Leave as-is

5. Completion Summary

Track Complete: {track title}

Summary:
- Track ID: {trackId}
- Phases completed: {N}/{N}
- Tasks completed: {M}/{M}
- Commits created: {count}
- Tests: All passing

Next steps:
- Run /conductor:status to see project progress
- Run /conductor:new-track for next feature

Progress Tracking

Maintain progress in metadata.json throughout:

json
{
  "id": "auth_20250115",
  "title": "User Authentication",
  "type": "feature",
  "status": "in_progress",
  "created": "2025-01-15T10:00:00Z",
  "updated": "2025-01-15T14:30:00Z",
  "current_phase": 2,
  "current_task": "2.3",
  "phases": {
    "total": 3,
    "completed": 1
  },
  "tasks": {
    "total": 12,
    "completed": 7
  },
  "commits": [
    "abc1234: feat: add login form (auth_20250115)",
    "def5678: feat: add password validation (auth_20250115)"
  ]
}

Resumption

If implementation is paused and resumed:

  1. Load metadata.json for current state

  2. Find current task from current_task field

  3. Check if task is [~] in plan.md

  4. Ask user:

    Resuming track: {title}
    
    Last task in progress: Task {X.Y}: {description}
    
    Options:
    1. Continue from where we left off
    2. Restart current task
    3. Show progress summary first

Critical Rules

  1. NEVER skip verification checkpoints - Always wait for user approval between phases
  2. STOP on any failure - Do not attempt to continue past errors
  3. Follow workflow.md strictly - TDD, commit strategy, and verification rules are mandatory
  4. Keep plan.md updated - Task status must reflect actual progress
  5. Commit frequently - Each task completion should be committed
  6. Track all commits - Record commit hashes in metadata.json for potential revert

Frequently asked questions

What does the Conductor Implement AI skill do?

Execute tasks from a track's implementation plan following TDD workflow

Why use Conductor Implement on TypingMind?

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

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

Which AI models can use Conductor Implement?

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 Implement?

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

Is the Conductor Implement 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇