Agent skill

Packmind Onboard

by PackmindHub in PackmindHub/packmind

Complete automated onboarding: analyzes codebase, creates package, and generates standards & commands via CLI.

Apache-2.0Auto-check passed

Install Packmind Onboard

skills CLI
$ npx skills add PackmindHub/packmind --skill packmind-onboard -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install PackmindHub/packmind packmind-onboard --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/PackmindHub/packmind.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/packmind-onboard .claude/skills/packmind-onboard && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
packmind-onboard
GitHub stars
317
Token cost
~2.3k tokens
SKILL.md length
797 words
Files
23 (incl. references)
Skills in repo
35
Repo updated
First seen
Licence
Apache-2.0

At a glance

Complete automated onboarding: analyzes codebase, creates package, and generates standards & commands via CLI.

  • Works in 11 steps: Introduction → Get Repository Name → Package Handling → …
  • SKILL.md covers Guarantees, Definitions, Step 0 — Introduction and Step 1 — Get Repository Name, plus 10 more sections
  • Calls git

What it does

Packmind Onboard is an agent skill from PackmindHub/packmind. Complete automated onboarding: analyzes codebase, creates package, and generates standards & commands via CLI. Automatic package creation when none exist, user selection when packages are available.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 26 other files, including reference files (for example `README.md`, `packmind-versions/0.16.0/completion-summary.md` and `packmind-versions/0.16.0/create-items.md`).

The repository describes itself as: Packmind seamlessly captures your engineering playbook and turns it into AI context, guardrails, and governance. The licence is Apache-2.0.

Example prompts

  • “/packmind-onboard”

Workflow steps

11 steps, taken from the step headings in SKILL.md.

  1. Introduction
  2. Get Repository Name
  3. Package Handling
  4. Announce
  5. Detect Existing Packmind and Agent Configuration
  6. Detect Project Stack (Minimal, Evidence-Based)
  7. Run Analyses
  8. Generate All Drafts
  9. Present Summary & Confirm
  10. Create Items
  11. Completion Summary

What it can do on your machine

Read from SKILL.md and the folder at commit 8a10541. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Packmind Onboard loads about 2.3k tokens when it runs, and up to ~5.8k if it reads all its reference files. Until then it costs about 54 tokens; SKILL.md has 797 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from PackmindHub/packmind at commit 8a10541, republished under its Apache-2.0 licence (© PackmindHub). 797 words, ~2,319 tokens.

Download SKILL.mdSave it as .claude/skills/packmind-onboard/SKILL.md (or your agent's skills folder). This skill also uses 22 other files; get the full folder from GitHub.
name
packmind-onboard
description
Complete automated onboarding: analyzes codebase, creates package, and generates standards & commands via CLI. Automatic package creation when none exist, user selection when packages are available.
license
Complete terms in LICENSE.txt

packmind-onboard

Run "packmind --version" to get the current cli installation.

Find the highest version at or below the cli version in this list:

  • 0.16.0
  • 0.23.0
  • 0.35.0 Remember this value as $PACKMIND_CLI_VERSION for the rest of the skill.

Action skill. Provides complete automated onboarding for Packmind:

  1. Creates or selects a package
  2. Analyzes codebase for patterns
  3. Generates draft Standards and Commands
  4. Creates items via CLI

Automatic package creation when none exist, user selection when packages are available.

Guarantees

  • Read-only analysis. Analysis phase does not modify any project files.
  • Drafts before creation. All items are written as drafts first, allowing review before creation.
  • Preserve existing. Never overwrite existing artifacts. If a slug already exists, create -2, -3, etc.
  • Evidence required. Every reported insight must include file-path evidence (and line ranges when feasible).
  • Focused output. Max 5 Standards and 5 Commands generated per run.
  • Graceful failure. Partial failures don't lose successful work; failed drafts are preserved.
  • User control. When packages exist, users confirm package selection before creation.

Definitions

  • Pattern (non-linter): a convention a linter cannot reliably enforce (module boundaries, cross-domain communication, workflow parity, error semantics, etc).
  • Evidence: path[:line-line] entries; omit line ranges only when the file isn't text-searchable.

Step 0 — Introduction

Print exactly:

I'll start the Packmind onboarding process. I'll create your first standards and commands and send them to your Packmind organization. This usually takes ~3 minutes.

Step 1 — Get Repository Name

Get the repository name for package naming:

bash
basename "$(git rev-parse --show-toplevel)"

Remember this as the repository name for package creation in Step 2.

Also run packmind whoami and extract the Host: value from the output. Remember this URL for the completion summary.


Step 2 — Package Handling

Handle package creation or selection.

Check existing packages

List available packages by following packmind-versions/$PACKMIND_CLI_VERSION/list-packages.md.

Parse the output to get package names and slugs.

No packages exist

Auto-create a package using the repository name. Follow packmind-versions/$PACKMIND_CLI_VERSION/create-package.md using ${REPO_NAME}-standards as the package name.

The create-package step will determine the space. Capture the chosen space slug as $SPACE_SLUG and the new package slug as $PACKAGE_SLUG.

Print:

No existing packages found — created a new one: ${REPO_NAME}-standards
One package exists

Ask via AskUserQuestion:

  • "Add to {package-name}?"
  • "Create new package instead"
Multiple packages exist

Ask via AskUserQuestion:

  • List each existing package as an option
  • Include "Create new package" option
If "Create new package" is selected
  • Ask for package name (suggest ${REPO_NAME}-standards as default)
  • Follow packmind-versions/$PACKMIND_CLI_VERSION/create-package.md using the chosen name.
  • The create-package step will determine the space. Capture the chosen space slug as $SPACE_SLUG and the new package slug as $PACKAGE_SLUG.
If an existing package is selected

Follow packmind-versions/$PACKMIND_CLI_VERSION/select-package.md.

After this step

Remember $PACKAGE_SLUG (the slug of the selected/created package) and $SPACE_SLUG for later reference — they will be used together in Step 9 to ensure items are added to the correct package in the correct space (as @$SPACE_SLUG/$PACKAGE_SLUG).


Step 3 — Announce

Print exactly:

packmind-onboard: analyzing codebase (read-only)
Target package: [package-name]

Step 4 — Detect Existing Packmind and Agent Configuration

Before analyzing, detect and preserve any existing Packmind/agent configuration.

Glob (broad, future-proof)

Glob for markdown in these roots (recursive):

  • .packmind/**/*.md
  • .claude/**/*.md
  • .agents/**/*.md
  • **/skills/**/*.md
  • **/rules/**/*.md
Show full SKILL.md (328 more words)Show less
Classify

Classify found files into counts:

  • standards: .packmind/standards/**/*.md
  • commands: .packmind/commands/**/*.md
  • other_docs: any markdown under .claude/, .agents/, or any skills/ or rules/ directory outside .packmind

If any exist, print exactly:

Existing Packmind/agent docs detected:

    Standards: [N]

    Commands: [M]

    Other docs: [P]

No overwrites. New files (if you Export) will be added next to the existing ones.


Step 5 — Detect Project Stack (Minimal, Evidence-Based)

Language markers (check presence)
  • JS/TS: package.json, pnpm-lock.yaml, yarn.lock, tsconfig.json
  • Python: pyproject.toml, requirements.txt, setup.py
  • Go: go.mod
  • Rust: Cargo.toml
  • Ruby: Gemfile
  • JVM: pom.xml, build.gradle, build.gradle.kts
  • .NET: *.csproj, *.sln
  • PHP: composer.json
Architecture markers (check directories)
  • Hexagonal/DDD: src/application/, src/domain/, src/infra/
  • Layered/MVC: src/controllers/, src/services/
  • Monorepo: packages/, apps/

Print exactly:

Stack detected (heuristic):

    Languages: [..]

    Repo shape: [monorepo|single]

    Architecture markers: [..|none]

Step 6 — Run Analyses

Read each reference file for detailed search patterns, thresholds, and insight templates.

AnalysisReference FileOutput focus
File Template Consistencyreferences/file-template-consistency.mdCommands
CI/Local Workflow Parityreferences/ci-local-workflow-parity.mdCommands
Role Taxonomy Driftreferences/role-taxonomy-drift.mdStandards
Test Data Constructionreferences/test-data-construction.mdStandards
Output schema (internal; do not print as-is to user)

For every finding, keep an internal record:

INSIGHT:
title: ...
why_it_matters: ...
confidence: [high|medium|low]
evidence:
- path[:line-line]
where_it_doesnt_apply:
- path[:line-line]

Step 7 — Generate All Drafts

Generate all draft files in one batch, using the format defined for your CLI version.

Read the Draft Format section in packmind-versions/$PACKMIND_CLI_VERSION/create-items.md and create draft files accordingly.

Generation Rules (all versions)
  • Generate drafts only from discovered insights (no invention)
  • Use evidence from analysis to populate rules/steps
  • Cap output: max 5 Standards + 5 Commands
  • Never overwrite existing files; append -2, -3, etc. if slug exists

Step 8 — Present Summary & Confirm

Present the generated draft files and ask for confirmation:

============================================================
  ANALYSIS COMPLETE
============================================================

Target package: [package-name]
Stack detected: [languages], [monorepo?], [architecture markers]
Analyses run: [N] checks

DRAFTS CREATED:

Standards ([N]):
  1. [Name] → .packmind/standards/_drafts/[slug].draft.md
  2. ...

Commands ([M]):
  1. [Name] → .packmind/commands/_drafts/[slug].draft.md
  2. ...

Drafts are saved in .packmind/*/_drafts/ — you can review or edit them before creating.
============================================================

Then ask via AskUserQuestion with three options:

  • Create all now — Proceed with creating all standards and commands
  • Let me review drafts first — Pause to allow editing, re-run skill when ready
  • Cancel — Exit without creating anything

Step 9 — Create Items

Follow packmind-versions/$PACKMIND_CLI_VERSION/create-items.md.


Step 10 — Completion Summary

Follow packmind-versions/$PACKMIND_CLI_VERSION/completion-summary.md.


Edge Cases

Package creation fails

If packmind packages create fails:

❌ Failed to create package: [error message]

Please check:
  - You are logged in: `packmind login`
  - Your network connection is working
  - The package name is valid

Cannot proceed with onboarding until package is created.

Exit the skill. Do not proceed to analysis.

Not logged in

If CLI commands fail with authentication errors:

❌ Not logged in to Packmind

Please run:
  packmind login

Then re-run this skill.
No packages available

If the package listing command returns no packages:

Auto-create a package using the repository name.

© PackmindHub, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 22 other files (references) in .agents/skills/packmind-onboard of PackmindHub/packmind.

  • SKILL.md
  • LICENSE.txt
  • README.md
  • packmind-versions/0.16.0/completion-summary.md
  • packmind-versions/0.16.0/create-items.md
  • packmind-versions/0.16.0/create-package.md
  • packmind-versions/0.16.0/list-packages.md
  • packmind-versions/0.16.0/select-package.md
  • packmind-versions/0.23.0/completion-summary.md
  • packmind-versions/0.23.0/create-items.md
  • packmind-versions/0.23.0/create-package.md
  • packmind-versions/0.23.0/list-packages.md
  • packmind-versions/0.23.0/select-package.md
  • packmind-versions/0.35.0/completion-summary.md
  • packmind-versions/0.35.0/create-items.md
  • packmind-versions/0.35.0/create-package.md
  • packmind-versions/0.35.0/list-packages.md
  • … and 6 more

Open the folder on GitHubat commit 8a10541

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Questions about Packmind Onboard

What does Packmind Onboard do?

Complete automated onboarding: analyzes codebase, creates package, and generates standards & commands via CLI. Packmind Onboard is an agent skill from PackmindHub/packmind. Complete automated onboarding: analyzes codebase, creates package, and generates standards & commands via CLI.

How do I install Packmind Onboard in Claude Code?

Run `npx skills add PackmindHub/packmind --skill packmind-onboard -a claude-code`. Or copy the skill folder (.agents/skills/packmind-onboard in PackmindHub/packmind) into .claude/skills/packmind-onboard in your project. Claude Code loads it when a task matches its description.

How do I install Packmind Onboard in Codex?

Run `npx skills add PackmindHub/packmind --skill packmind-onboard -a codex`. Or copy the skill folder (.agents/skills/packmind-onboard in PackmindHub/packmind) into .agents/skills/packmind-onboard in your project. Codex loads it when a task matches its description.

Can I use Packmind Onboard in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add PackmindHub/packmind --skill packmind-onboard -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/packmind-onboard, .gemini/skills/packmind-onboard, .github/skills/packmind-onboard and .opencode/skills/packmind-onboard in your project.

What does Packmind Onboard need to run?

Going by SKILL.md and its folder, Packmind Onboard needs the command-line tools its instructions call (git).

Does Packmind Onboard access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Packmind Onboard safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Packmind Onboard use?

Packmind Onboard is published under the Apache-2.0 licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Packmind Onboard use?

About 2.3k tokens (SKILL.md is roughly 9.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.5k tokens, read only when the agent opens those files.

What are the alternatives to Packmind Onboard?

Skills that share tags, products or a category with Packmind Onboard: Autom Automation (ComposioHQ/awesome-claude-skills, 77k stars), Doppler Marketing Automation Automation (ComposioHQ/awesome-claude-skills, 77k stars), Codebase Onboarding (affaan-m/ECC, 275k stars) and Generate (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Packmind Onboard?

PackmindHub (a GitHub organization) maintains it in PackmindHub/packmind, which has 317 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on October 8, 2026.

Source: PackmindHub/packmind on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.