Skip to content
Agentmart
Submit a tool

feature-tracking

Maintain portable Feature Track docs for project features.

Skill by JunsW

IndexedMIT★ 107
Write a review

Chalk Labs

Need help deploying feature-tracking?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/junsw-feature-tracking

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Maintain portable Feature Track docs for project features. Use when designing, planning, implementing, reviewing, or finishing feature work; creating or updating PRD/API/design/implementation docs; adding a new feature; or validating docs/features.

Use cases: design, backend

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/feature-tracking

What's inside

Skill name
feature-tracking
Description
Maintain portable Feature Track docs for project features. Use when designing, planning, implementing, reviewing, or finishing feature work; creating or updating PRD/API/design/implementation docs; adding a new feature; or validating docs/features.
License
MIT
Instructions
36 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (5)

  • SKILL.md
  • feature-index-template.md · references/
  • feature-readme-template.md · references/
  • spec.md · references/
  • validate_feature_tracks.py · scripts/

SKILL.md (first lines)

# Feature Tracking

Use Feature Track as the current operational memory for feature work. The neutral spec is the source of truth; this Claude Code plugin is an adapter.

Read `references/spec.md` before changing feature docs.

## Default Workflow

Before feature work:

1. Read `docs/features/README.md` if it exists.
2. Identify the feature id from the request, code module, route, domain name, or existing docs.
3. Read `docs/features/<feature-id>/README.md` if it exists.
4. If no track exists, create one and add it to the index.

During work, update the feature track when behavior, decisions, endpoints, data models, dependencies, rollout constraints, tests, or source-of-truth links change.

Before completion:

1. Update the feature README for the actual outcome.
2. Update `docs/features/README.md` if status, source-of-truth links, dates, or notes changed.
3. Run validation when available:

```bash
python3 cli/feature_track.py validate --root .
```

If the project does not include this CLI, use `scripts/validate_feature_tracks.py` from this skill.

Invoke this plugin skill in Claude Code with:

```text
/feature-track:feature-tracking
```

From JunsW/feature-track, MIT.

Signals

Stars
107
Forks
2
Open issues
0
Last commit (this folder)
Jul 6, 2026 (3 months ago)
Last release
Jul 6, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

Same skill elsewhere

Copies of this SKILL.md published by others; search shows only one of them.

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get feature-tracking running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying feature-tracking?

CallGet help
Cite this page

feature-tracking skill. Agent Mart. https://agentmart.dev/skills/junsw-feature-tracking (last updated 2026-10-24)