Agent skill

Packmind Create Standard

by PackmindHub in PackmindHub/packmind

Guide for creating coding standards via the Packmind CLI. An agent skill from PackmindHub/packmind.

Apache-2.0Auto-check passedDevelopment

Install Packmind Create Standard

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

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

GitHub CLI
$ gh skill install PackmindHub/packmind packmind-create-standard --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/.gitlab/duo/skills/packmind-create-standard .claude/skills/packmind-create-standard && 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-create-standard
GitHub stars
317
Token cost
~4.1k tokens
SKILL.md length
1,710 words
Files
3
Skills in repo
35
Repo updated
First seen
Licence
Apache-2.0

At a glance

Guide for creating coding standards via the Packmind CLI. An agent skill from PackmindHub/packmind.

  • Works in 6 steps: Clarify the Request → Draft Standard in Markdown → Review Before Submission → …
  • Tasks that involve Code quality
  • SKILL.md covers About Coding Standards, Prerequisites, Standard Creation Process and Complete Example, plus 1 more section
  • Calls npm

What it does

Packmind Create Standard is an agent skill from PackmindHub/packmind. Guide for creating coding standards via the Packmind CLI. This skill should be used when users want to create a new coding standard (or add rules to an existing standard) that captures team conventions, best practices, or coding guidelines for distribution to GitLab Duo.

Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `README.md`).

It sits in Development, covering Code quality. It works with GitLab and TypeScript. 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.

When your agent uses it

  • Tasks that involve Code quality

Example prompts

  • “/packmind-create-standard”

Requirements

  • Node.js

Workflow steps

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

  1. Clarify the Request
  2. Draft Standard in Markdown
  3. Review Before Submission
  4. Confirm and Submit
  5. Cleanup
  6. Offer to Add to Package

What it can do on your machine

Read from SKILL.md and the folder at commit 858ed50. 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:

    • npm

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

  • Network

    No URLs in SKILL.md. Its commands use npm, 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 Create Standard loads about 4.1k tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 1,710 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~74
When it runs · the whole SKILL.md, loaded when a task matches
~4.1k

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 858ed50, republished under its Apache-2.0 licence (© PackmindHub). 1,710 words, ~4,104 tokens.

Download SKILL.mdSave it as .claude/skills/packmind-create-standard/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
packmind-create-standard
description
Guide for creating coding standards via the Packmind CLI. This skill should be used when users want to create a new coding standard (or add rules to an existing standard) that captures team conventions, best practices, or coding guidelines for distribution to GitLab Duo.
license
Complete terms in LICENSE.txt
metadata.packmind-cli-version
< 0.25.0

Standard Creator

This skill provides a complete walkthrough for creating coding standards via the Packmind CLI.

About Coding Standards

Coding standards are collections of rules that capture team conventions, best practices, and coding guidelines. They help maintain consistency across codebases and enable GitLab Duo to follow your team's specific practices.

What Standards Provide
  1. Consistent code style - Rules that enforce naming conventions, formatting, and structure
  2. Best practices - Guidelines for error handling, testing, security, and performance
  3. Domain knowledge - Company-specific patterns, architectural decisions, and business logic
  4. Code examples - Positive/negative examples that demonstrate correct vs incorrect usage
Standard Structure

Every standard is drafted as a markdown file with this structure:

# Standard Name

## Description

What the standard covers and why.

## Scope

Comma-separated glob patterns for files where the standard applies (e.g., "**/*.ts", "**/*.spec.ts,**/*.test.ts").

## Rules

### Rule description starting with action verb

#### Positive Example

\`\`\`typescript
// Valid code example
\`\`\`

#### Negative Example

\`\`\`typescript
// Invalid code example
\`\`\`

### Another rule without examples
Naming Guidelines

The # Title heading is the display name shown in indexes and dashboards. The slug is auto-generated from it — never write the slug yourself.

Format: Use Title Case with spaces — natural language, not a slug.

  • Capitalize each significant word
  • Use spaces between words, never hyphens or underscores
  • Be descriptive and specific (2–5 words) — indicate the domain/technology and the aspect covered

Examples:

  • ✅ "TypeScript Testing Conventions", "React Component File Organization", "Backend Error Handling"
  • ❌ "typescript-testing-conventions" (slug format — use Title Case with spaces)
  • ❌ "testing" (too generic)
  • ❌ "good-practices" (slug format and too vague)
  • ❌ "Standards for Code" (describes meta-concept, not the actual domain)

Note: The summary field is used in other workflows but not yet supported by the CLI.

Understanding scope vs summary
  • scope (required by CLI): WHERE the standard applies — comma-separated glob patterns.
    • Must be glob patterns only — never natural language descriptions.
    • Examples: "**/*.spec.ts,**/*.test.ts", "**/*.tsx,**/*.jsx", "src/domain/**/*.ts"
    • Common patterns:
      • **/*.ts — all TypeScript files
      • **/*.spec.ts,**/*.test.ts — all test files
      • **/*.tsx,**/*.jsx — all React component files
      • src/domain/**/*.ts — domain TypeScript files under src
      • packages/**/src/**/*.ts — all package source files
    • ⚠️ Never write natural language like "TypeScript files" or "React components" — the value is used as literal glob patterns for file matching, so natural language will match nothing.
  • summary (optional, not yet CLI-supported): WHEN/WHY to apply - high-level purpose and trigger condition
    • Examples: "Apply when writing tests to ensure consistency", "Use when handling user data for privacy compliance"

Prerequisites

Before creating a standard, verify that packmind-cli is available:

Check if packmind-cli is installed:

bash
packmind-cli --version

If not available, install it:

bash
npm install -g @packmind/cli

Then login to Packmind:

bash
packmind-cli login

Standard Creation Process

To create a standard, follow this process in order, skipping steps only if there is a clear reason why they are not applicable.

Step 1: Clarify the Request

Gather essential information before drafting the standard.

Clarification Flow

Study the user's request and identify critical gaps. The number of questions should match the request clarity:

  • 1-2 questions when the request is well-defined (clear scope, specific examples, detailed context)
  • 3-5 questions when the context is unclear or the request is vague

Examples of focused questions:

  • "Which service or file shows the expected pattern?"
  • "Is there an existing doc or rule we must stay aligned with?"
  • "What specific aspect matters most (mocking guidelines, naming conventions, assertion style)?"

Introduce questions with a simple phrase about needing clarification, then list as bullet points—no numbering, no category headers.

Repository Access Guardrail

Do not open or scan repository files unless the user explicitly points to them (provides file paths or requests project-wide review). If source references are needed, ask the user to supply them.

What to Capture

Take brief notes on:

  • Title or slug (if mentioned)
  • Scope guardrails
  • Key references
  • Expected outcomes

Keep notes concise—just enough to unlock drafting.

Step 2: Draft Standard in Markdown

Transform the understanding into a complete markdown draft with rules and examples.

Draft Creation
  1. Create a draft markdown file in .packmind/standards/_drafts/ (create the folder if missing) using filename <slug>.md (lowercase with hyphens)
  2. Draft structure:
    • # <Standard Title> (Title Case, 2–5 words)
    • ## Description — what the standard covers and why it exists
    • ## Scope — comma-separated glob patterns (required)
    • ## Rules — each rule as a ### <rule text> subsection following the Rule Writing Guidelines below
    • For each rule that benefits from code examples, add:
      • #### Positive Example with a language-annotated code block showing the compliant approach
      • #### Negative Example with a language-annotated code block showing the anti-pattern
    • If a rule doesn't benefit from code examples (e.g., process or organizational rules), skip examples for that rule

This draft file is the only file created during drafting — no separate files are needed.

Rule Writing Guidelines

Each rule should follow these format requirements:

  1. Start with an action verb - Use imperative form (e.g., "Use", "Avoid", "Prefer", "Include")
  2. Be concise - Max ~25 words per rule
  3. Be specific and actionable - Avoid vague guidance
  4. Focus on one concept - One rule per convention
Avoid Rationale Phrases

Rules describe WHAT to do, not WHY. Strip justifications and benefits—let examples demonstrate value.

Common fluff patterns to remove:

  • "to improve/provide/ensure..." (benefit phrases)
  • "while maintaining/preserving..." (secondary concerns)
  • "for better/enhanced..." (quality claims)
  • "and enable/allow..." (future benefits)

Bad (includes rationale):

Document props with JSDoc comments to provide IDE intellisense and improve developer experience.

Good (action only):

Document component props with JSDoc comments (/** ... */) describing purpose, expected values, and defaults.

Rule Splitting

If a rule addresses 2+ distinct concerns, proactively split it into separate rules:

Bad (too broad):

Create centralized color constants in dedicated files for consistent palettes, using semantic naming based on purpose rather than specific color values.

Good (split into focused rules):

  • Define color constants in theme/colors.ts using semantic names (e.g., primary, error)
  • Use semantic color tokens instead of literal hex values in components
Inline Examples in Rules

Inline examples (code, paths, patterns) within the rule content are optional. Only include them when they clarify something not obvious from the rule text.

Types of useful inline examples:

  • Code syntax: const, async/await, /** ... */
  • File paths: infra/repositories/, domain/entities/
  • Naming patterns: .spec.ts, I{Name} prefix

Good rules with inline examples:

  • "Use const instead of let for variables that are never reassigned"
  • "Prefix interface names with I (e.g., IUserService)"
  • "Place repository implementations in infra/repositories/"

Good rules without inline examples:

  • "Name root describe block after the class or function under test"
  • "Run linting before committing changes"
  • "Keep business logic out of controllers"

Bad rules:

  • "Write good code" (too vague)
  • "Use const and prefix interfaces with I" (multiple concepts)
  • "Don't use var" (no positive guidance)
Examples Guidelines
  • Examples should be realistic and directly relevant to this codebase
  • Each example should clearly demonstrate why the rule matters
  • Keep code snippets minimal—only include what's necessary to illustrate the point
  • Annotate every code block with its language (e.g., typescript, sql, javascript)

Valid language values for code blocks:

  • TYPESCRIPT, TYPESCRIPT_TSX
  • JAVASCRIPT, JAVASCRIPT_JSX
  • PYTHON, JAVA, GO, RUST, CSHARP
  • PHP, RUBY, KOTLIN, SWIFT, DART, SQL
  • HTML, CSS, SCSS, YAML, JSON
  • MARKDOWN, BASH, GENERIC
Show full SKILL.md (673 more words)Show less
Draft Summary

After saving the draft file, write a concise summary that captures:

  • One sentence summarizing the standard's purpose
  • A bullet list of all rules (each rule ~22 words max, imperative form, with inline code if helpful)

Then proceed directly to Step 3.

Step 3: Review Before Submission

Before running the CLI command, you MUST get explicit user approval:

  1. Display a formatted recap of the standard content:
---
Name: <standard name>

Description: <description>

Scope: <scope>

Rules:

1. <rule content>
   - ✅ <positive example>
   - ❌ <negative example>
2. <rule content>
   - ✅ <positive example>
   - ❌ <negative example>
...
---
  1. Provide the file path to the markdown file so users can open and edit it directly if needed.

  2. Ask: "Here is the standard that will be created on Packmind. The draft file is at <path> if you want to review or edit it. Do you approve?"

  3. Wait for explicit user confirmation before proceeding to Step 4.

  4. If the user requests changes, go back to earlier steps to make adjustments.

Step 4: Confirm and Submit
  1. Re-read the markdown file from disk to capture any user edits.

  2. Compare with the original content you created in Step 2.

  3. If changes were detected:

    • Display the formatted recap again (same format as Step 3)
    • Ask: "The file was modified. Here is the updated content that will be sent. Do you confirm?"
    • Wait for explicit confirmation before proceeding.
  4. If no changes: Proceed directly to submission.

  5. Convert the markdown to JSON using these conversion rules:

    • # heading → name
    • ## Description content → description
    • ## Scope content → scope
    • Each ### ... under ## Rules → rule content
    • #### Positive Example code block → examples.positive
    • #### Negative Example code block → examples.negative
    • Code fence language identifier → examples.language (UPPERCASED)

    Important: examples is a single object (not an array) — one positive/negative pair per rule. It is optional — omit entirely for rules without code examples. When present, all three fields (positive, negative, language) are required.

    Expected JSON format:

    json
    {
      "name": "Standard Name",
      "description": "What the standard covers and why.",
      "scope": "**/*.spec.ts,**/*.test.ts",
      "rules": [
        {
          "content": "Rule description starting with action verb",
          "examples": {
            "positive": "// valid code",
            "negative": "// invalid code",
            "language": "TYPESCRIPT"
          }
        },
        {
          "content": "Rule without examples"
        }
      ]
    }
  6. Pipe the JSON directly to the CLI via stdin using a heredoc (no intermediate file needed):

bash
packmind-cli standards create --origin-skill packmind-create-standard <<'EOF'
{"name":"...","description":"...","scope":"...","rules":[...]}
EOF

Expected output on success:

packmind-cli Standard "Your Standard Name" created successfully (ID: <uuid>)
Troubleshooting

"Not logged in" error:

bash
packmind-cli login

"Failed to resolve global space" error:

  • Verify your API key is valid
  • Check network connectivity to Packmind server

Validation errors:

  • Ensure all required sections are present in the markdown file
  • Check that the ## Rules section has at least one ### rule subsection
  • Verify code blocks have language annotations

"expected object, received array" error on examples:

  • The examples field must be a single object {positive, negative, language}, not an array
  • Each rule supports at most one example pair
Step 5: Cleanup

After the standard is successfully created, delete the draft markdown file in .packmind/standards/_drafts/.

Only clean up on success - if the CLI command fails, keep the files so the user can retry.

Step 6: Offer to Add to Package

After successful creation, check if the standard fits an existing package:

  1. Run packmind-cli install --list to get available packages
  2. If no packages exist, skip this step silently and end the workflow
  3. Analyze the created standard's name, description, and scope against each package's name and description
  4. If a package is a clear semantic fit (the standard's domain/technology aligns with the package's purpose):
    • Present to user: "This standard seems to fit the <package-slug> package."
    • Offer three options:
      • Add to <package-slug>
      • Choose a different package
      • Skip
  5. If no clear fit is found, skip silently (do not mention packages)
  6. If user chooses to add:
    • Run: packmind-cli packages add --to <package-slug> --standard <standard-slug>
    • Ask: "Would you like me to run packmind-cli install to sync the changes?"
    • If yes, run: packmind-cli install

Complete Example

Here's a complete example creating a TypeScript testing standard:

File: .packmind/standards/_drafts/testing-conventions.md

markdown
# TypeScript Testing Conventions

## Description

Enforce consistent testing patterns in TypeScript test files to improve readability, maintainability, and reliability of the test suite.

## Scope

**/*.spec.ts,**/*.test.ts

## Rules

### Use descriptive test names that explain the expected behavior

#### Positive Example

\`\`\`typescript
it('returns empty array when no items match filter')
\`\`\`

#### Negative Example

\`\`\`typescript
it('test filter')
\`\`\`

### Follow Arrange-Act-Assert pattern in test structure

#### Positive Example

\`\`\`typescript
const input = createInput();
const result = processInput(input);
expect(result).toEqual(expected);
\`\`\`

#### Negative Example

\`\`\`typescript
expect(processInput(createInput())).toEqual(expected);
\`\`\`

### Use one assertion per test for better error isolation

#### Positive Example

\`\`\`typescript
it('validates name', () => { expect(result.name).toBe('test'); });
it('validates age', () => { expect(result.age).toBe(25); });
\`\`\`

#### Negative Example

\`\`\`typescript
it('validates user', () => { expect(result.name).toBe('test'); expect(result.age).toBe(25); });
\`\`\`

### Avoid using 'should' at the start of test names - use assertive verb-first naming

Creating the standard (piped via stdin):

bash
packmind-cli standards create --origin-skill packmind-create-standard <<'EOF'
{"name":"TypeScript Testing Conventions","description":"Enforce consistent testing patterns...","scope":"**/*.spec.ts,**/*.test.ts","rules":[...]}
EOF

Quick Reference

SectionRequiredDescription
# TitleYesTitle Case, descriptive, 2–5 words
## DescriptionYesWhat and why
## ScopeYes (CLI)Comma-separated glob patterns
## RulesYesContains rule subsections
### Rule textYes (≥1)Rule text (verb-first, max ~25 words)
#### Positive ExampleNoValid code in fenced block
#### Negative ExampleNoInvalid code in fenced block

© 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 2 other files in .gitlab/duo/skills/packmind-create-standard of PackmindHub/packmind.

  • SKILL.md
  • LICENSE.txt
  • README.md

Open the folder on GitHubat commit 858ed50

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Categories

Questions about Packmind Create Standard

What does Packmind Create Standard do?

Guide for creating coding standards via the Packmind CLI. An agent skill from PackmindHub/packmind. Packmind Create Standard is an agent skill from PackmindHub/packmind. Guide for creating coding standards via the Packmind CLI.

When should I use Packmind Create Standard?

Packmind Create Standard fits situations like: tasks that involve Code quality.

How do I install Packmind Create Standard in Claude Code?

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

How do I install Packmind Create Standard in Codex?

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

Can I use Packmind Create Standard 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-create-standard -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-create-standard, .gemini/skills/packmind-create-standard, .github/skills/packmind-create-standard and .opencode/skills/packmind-create-standard in your project.

What does Packmind Create Standard need to run?

Going by SKILL.md and its folder, Packmind Create Standard needs the command-line tools its instructions call (npm). Our summary lists: Node.js.

Does Packmind Create Standard access the network?

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

Is Packmind Create Standard 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 Create Standard use?

Packmind Create Standard 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 Create Standard use?

About 4.1k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Packmind Create Standard?

Skills that share tags, products or a category with Packmind Create Standard: Install Anti-Slop Oxlint Rules (dmmulroy/anti-slop, 5.2k stars), Code Reviewer (jewbetcha/opentrace, 116 stars), Coding Standards (kurealnum/dotfiles, 290 stars) and Code Quality (redis/RedisInsight, 8.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Packmind Create Standard?

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 6, 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.