Create, maintain, and improve repository documentation that helps coding agents understand the project, follow engineering standards, make safe changes, and work consistently across tools such as Claude Code, Cursor, GitHub Copilot, Codex, and other AI coding agents.
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Create, maintain, and improve repository documentation that helps coding agents understand the project, follow engineering standards, make safe changes, and work consistently across tools such as Claude Code, Cursor, GitHub Copilot, Codex, and other AI coding agents.
Write Agent Documentation
Purpose
Create, maintain, and improve repository documentation that helps coding agents understand the project, follow engineering standards, make safe changes, and work consistently across tools such as Claude Code, Cursor, GitHub Copilot, Codex, and other AI coding agents.
This skill provides operational guidance for Write Agent Documentation, including tool usage patterns, workflows, and quality expectations aligned with Syncolab skill standards.
When to Use
Use when the user needs help with Write Agent Documentation.
When integrations for this domain are available and the task matches the workflows below.
When NOT to Use
When the task is unrelated to Write Agent Documentation or covered by a more specific skill.
When required integrations or credentials are unavailable.
Expected Outcome
Correct use of domain tools with verified results (not fabricated).
Clear summary of actions taken, data returned, and recommended next steps.
Errors and missing permissions reported explicitly.
Inputs to Gather
User goal, constraints, and any identifiers (URLs, IDs, project keys).
Available tool sets and connection status.
Relevant context from related systems before destructive writes.
Workflow
Confirm the request maps to Write Agent Documentation and required tools are available.
Gather identifiers and scope (project, channel, repo, date range, etc.).
Follow the domain guidance below; prefer list/search before get/update when applicable.
Execute tool calls using schemas from the integration; never invent tool output.
Summarize results and offer logical follow-ups.
Skill: Write Agent Documentation
Description
Create, maintain, and improve repository documentation that helps coding agents understand the project, follow engineering standards, make safe changes, and work consistently across tools such as Claude Code, Cursor, GitHub Copilot, Codex, and other AI coding agents.
Purpose
This skill ensures that every repository contains a clear, aligned, and practical documentation layer for AI coding agents.
The goal is not only to document the codebase for humans, but to create a reliable operating manual for agents: what the system does, how the code is structured, how changes should be made, how tests should be run, which decisions must be respected, and which patterns should or should not be followed.
Well-written agent documentation should reduce hallucinations, prevent inconsistent implementations, improve task execution quality, and make future agents more effective from the first interaction.
Responsibilities
Create and maintain agent-facing documentation files for repositories
Translate architecture, conventions, and engineering decisions into actionable instructions
Keep documentation compatible with multiple coding agents and IDEs
Document development workflows, validation commands, testing expectations, and review standards
Capture project structure, coding patterns, design decisions, and known constraints
Ensure documentation is concise enough to be useful in an agent context window
Keep documentation accurate as the codebase evolves
Use Jira to understand documentation goals, gaps, and requested improvements
Use GitHub to inspect the actual repository before writing or updating documentation
Supported Documentation Targets
This skill should support any agent documentation system, including but not limited to:
AGENTS.md
CLAUDE.md
.cursor/rules/*.mdc
.github/copilot-instructions.md
README.md agent-specific sections
docs/ai/*.md
docs/architecture/*.md
docs/decisions/*.md
docs/development/*.md
Repository-specific onboarding or engineering guides
When possible, prefer a vendor-neutral source of truth such as AGENTS.md or docs/ai/agent-guide.md, and adapt tool-specific files from it.
Core Principle
Agent documentation must be:
Accurate — based on the actual repository, not assumptions
Actionable — written as instructions an agent can follow
Specific — tailored to the repository, not generic boilerplate
Concise — focused on what agents need during implementation
Structured — easy to scan, reference, and update
Safe — avoids secrets, credentials, private tokens, or sensitive data
Maintainable — updated when architecture, commands, or conventions change
Workflow
1. Understand the Documentation Request
Use Jira to identify:
The requested documentation scope
The target audience:
Coding agents
Human developers
Both
The target agent environment:
Claude Code
Cursor
GitHub Copilot
Codex
Generic agent setup
The repository areas that need documentation
Any known pain points:
Agents making wrong assumptions
Agents ignoring architecture
Agents writing inconsistent code
Agents failing to run correct tests
Agents misunderstanding project structure
If Jira is unclear, infer the most useful documentation improvement from the repository structure and document assumptions.
2. Inspect the Repository Before Writing
Use GitHub to inspect the actual codebase.
Review:
Repository structure
Existing documentation
Build and run commands
Test commands
Linting and formatting setup
Package or dependency files
CI configuration
Important modules and boundaries
Existing architecture or decision documents
Naming conventions and style patterns
Existing agent instruction files
Do not write generic instructions without first understanding the repository.
3. Identify the Agent Documentation Architecture
Decide which documentation files should exist and what each one should own.
