Issue Progress Tracking logo

Issue Progress Tracking

Community
yonatangross
issue-progress-tracking

GitHub issue workflow ceremony using gh CLI — labels issues as in-progress, creates feature branches (issue/N-description), commits with issue references, posts progress comments, and links PRs with Closes #N. Keeps issues in sync with development work. Use when starting work on an issue, tracking progress, or completing work with a PR.

Overview

Publisheryonatangross
Repositoryorchestkit
Skill nameissue-progress-tracking
Stars
298
Forks
35
Bundled files
4
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.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Issue Progress Tracking 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/yonatangross/orchestkit/tree/main/plugins/ork/skills/issue-progress-tracking
  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/yonatangross/orchestkit.git /tmp/orchestkit
mkdir -p .claude/skills
cp -r /tmp/orchestkit/plugins/ork/skills/issue-progress-tracking .claude/skills/issue-progress-tracking
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Issue Progress Tracking 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 Issue Progress Tracking 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 Issue Progress Tracking 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.

Issue Progress Tracking

Ceremony guide for tracking GitHub issue progress via gh CLI. Ensures issues stay updated as work progresses from start to PR.

Invocation

This skill is user-invocable: false and disable-model-invocation: true: there is no /ork: form and the model cannot auto-select it (#3313). An agent loads it explicitly by Reading this file's path:

text
${CLAUDE_PLUGIN_ROOT}/skills/issue-progress-tracking/SKILL.md

Phase 1: Start Work

Label the issue and create a feature branch:

bash
# Move issue to in-progress
gh issue edit $ARGUMENTS[0] --add-label "status:in-progress" --remove-label "status:todo"
gh issue comment $ARGUMENTS[0] --body "Starting work on this issue."

# Create feature branch
git checkout -b issue/$ARGUMENTS[0]-brief-description

Rules:

  • Always branch from the default branch (main/dev)
  • Branch name format: issue/<number>-<brief-description>
  • Never work directly on main/dev

Phase 2: During Work — Small Commits

Commit after each logical step, not at the end. Every commit references the issue:

bash
# Each commit references the issue number
git commit -m "feat(#$ARGUMENTS[0]): add user model

Co-Authored-By: Claude <noreply@anthropic.com>"

Rules:

  • One logical change per commit (atomic)
  • Reference issue in every commit: type(#N): description
  • Commit early and often — don't accumulate a massive diff

Phase 3: Report Progress (Long Implementations)

For multi-step work, post progress updates:

bash
gh issue comment $ARGUMENTS[0] --body "Progress update:
- Completed: database schema, API endpoints
- In progress: frontend components
- Remaining: tests, documentation"

When to post updates:

  • After completing a major milestone
  • When blocked or changing approach
  • Before stepping away from a long task

Phase 4: Complete Work

Create the PR and update labels:

bash
# Create PR that closes the issue
gh pr create \
  --title "feat(#$ARGUMENTS[0]): brief description" \
  --body "Closes #$ARGUMENTS[0]

## Changes
- Change 1
- Change 2

## Test Plan
- [ ] Unit tests pass
- [ ] Manual verification"

# Update issue status
gh issue edit $ARGUMENTS[0] --add-label "status:in-review" --remove-label "status:in-progress"

Rules Quick Reference

RuleImpactWhat It Covers
Start Work CeremonyHIGHBranch creation, label updates, initial comment
Small CommitsHIGHAtomic commits referencing issues

Total: 2 rules across 2 categories


Key Decisions

DecisionChoiceRationale
Label prefixstatus:Consistent with GitHub conventions
Branch formatissue/<N>-descLinks branch to issue automatically
Commit referencetype(#N):Conventional commits + issue linking
Progress commentsManualKeeps humans in the loop

Common Mistakes

  1. Starting work without labeling — team loses visibility into who is working on what
  2. Giant commits at the end — makes review harder and history useless for bisect
  3. Forgetting to link PR to issue — issue stays open after merge
  4. Not updating labels on PR creation — issue shows "in-progress" during review
  5. Closing issues manually with gh issue close — issues are closed ONLY by merging a PR with Closes #N in the body. During work, comment progress with gh issue comment; never close directly.

Related Skills

  • ork:commit — Commit with conventional format
  • ork:fix-issue — Full issue resolution workflow
  • ork:implement — Feature implementation with parallel agents
  • ork:create-pr — Create pull requests

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Issue Progress Tracking AI skill do?

GitHub issue workflow ceremony using gh CLI — labels issues as in-progress, creates feature branches (issue/N-description), commits with issue references, posts progress comments, and links PRs with Closes #N. Keeps issues in sync with development work. Use when starting work on an issue, tracking progress, or completing work with a PR.

Why use Issue Progress Tracking on TypingMind?

Because you install it once and use it with any model. Issue Progress Tracking 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 Issue Progress Tracking in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yonatangross/orchestkit/tree/main/plugins/ork/skills/issue-progress-tracking. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Issue Progress Tracking?

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 Issue Progress Tracking?

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

Is the Issue Progress Tracking AI skill free?

Yes. It is published on GitHub by yonatangross 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 👇