Agent skill

Prime Codebase

by coleam00 in coleam00/skills

Primes the agent with deep codebase understanding by analyzing structure, documentation, and key files.

MITAuto-check passedDevelopment

Install Prime Codebase

skills CLI
$ npx skills add coleam00/skills --skill prime-codebase -a claude-code

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

GitHub CLI
$ gh skill install coleam00/skills prime-codebase --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/coleam00/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/prime-codebase .claude/skills/prime-codebase && 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
prime-codebase
GitHub stars
670
Token cost
~887 tokens
SKILL.md length
396 words
Files
1
Skills in repo
33
Repo updated
First seen
Licence
MIT

At a glance

Primes the agent with deep codebase understanding by analyzing structure, documentation, and key files.

  • Works in 5 steps: Load External Context → Analyze Project Structure → Read Core Documentation → …
  • Starting work on a codebase
  • SKILL.md covers Objective, Process and Output Report
  • Calls git

What it does

Prime Codebase is an agent skill from coleam00/skills. Primes the agent with deep codebase understanding by analyzing structure, documentation, and key files. Use when starting work on a codebase, at the beginning of a session, or when you need a fast orientation before planning or implementing. Optionally pulls external task context from Jira issues and Confluence pages first.

Its SKILL.md is about 890 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development. It works with Jira, Confluence, Model Context Protocol and Git. The repository describes itself as: The agent skills I actually use to build software with coding agents. The PIV loop, planning, worktrees, and the meta-skills for building your own AI Layer. The licence is MIT.

When your agent uses it

  • Starting work on a codebase
  • At the beginning of a session
  • You need a fast orientation before planning

Example prompts

  • “Use the prime-codebase skill to prime the agent with deep codebase understanding by analyzing structure, documentation, and key files”
  • “/prime-codebase”

Workflow steps

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

  1. Load External Context
  2. Analyze Project Structure
  3. Read Core Documentation
  4. Identify Key Files
  5. Understand Current State

What it can do on your machine

Read from SKILL.md and the folder at commit dfaa910. 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

Prime Codebase loads about 887 tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 396 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~85
When it runs · the whole SKILL.md, loaded when a task matches
~887

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 coleam00/skills at commit dfaa910, republished under its MIT licence (© coleam00). 396 words, ~887 tokens.

Download SKILL.mdSave it as .claude/skills/prime-codebase/SKILL.md (or your agent's skills folder).
name
prime-codebase
description
Primes the agent with deep codebase understanding by analyzing structure, documentation, and key files. Use when starting work on a codebase, at the beginning of a session, or when you need a fast orientation before planning or implementing. Optionally pulls external task context from Jira issues and Confluence pages first.
argument-hint
[jira-issue-keys] [confluence-page-ids]

Prime: Load Project Context

Objective

Build comprehensive understanding of the codebase by analyzing structure, documentation, and key files. If external task references are provided, load them first so the codebase analysis is anchored to the actual work.

Process

Step 0: Load External Context

Run this step BEFORE the codebase analysis. It accepts optional arguments: [jira-issue-keys] [confluence-page-ids].

  • Jira keys may be a single key (ACC-2) or comma-separated (ACC-2,ACC-3).
  • Confluence page ids are numeric page ids.

If Jira issue keys are provided:

  1. Call mcp__atlassian__getAccessibleAtlassianResources to obtain the cloudId.
  2. For each Jira key, call mcp__atlassian__getJiraIssue with that cloudId, the issue key, and responseContentFormat: "markdown".
  3. Treat the returned issue summary, description, and acceptance criteria as the task context for everything that follows.

If Confluence page ids are provided:

  1. Call mcp__atlassian__getConfluencePage for each page id with contentFormat: "markdown" (use the cloudId from above, fetching it via mcp__atlassian__getAccessibleAtlassianResources if it was not already retrieved).
  2. Treat the returned page content as supporting context (specs, design docs, requirements).

If no arguments are provided: Skip this step entirely and proceed to Step 1.

Briefly summarize any external context loaded before continuing — this frames the rest of the priming.

1. Analyze Project Structure

List all tracked files: !git ls-files

Show directory structure: On Linux, run: tree -L 3 -I 'node_modules|__pycache__|.git|dist|build'

2. Read Core Documentation
  • Read CLAUDE.md or similar global rules file
  • Read README files at project root and major directories
  • Read any architecture documentation
Show full SKILL.md (157 more words)Show less
3. Identify Key Files

Based on the structure, identify and read:

  • Main entry points (main.py, index.ts, app.py, etc.)
  • Core configuration files (pyproject.toml, package.json, tsconfig.json)
  • Key model/schema definitions
  • Important service or controller files
4. Understand Current State

Check recent activity: !git log -10 --oneline

Check current branch and status: !git status

Output Report

Provide a concise summary covering:

External Task Context (if loaded)
  • Jira issue(s): key, title, one-line goal, acceptance criteria
  • Confluence page(s): title and what they specify
Project Overview
  • Purpose and type of application
  • Primary technologies and frameworks
  • Current version/state
Architecture
  • Overall structure and organization
  • Key architectural patterns identified
  • Important directories and their purposes
Tech Stack
  • Languages and versions
  • Frameworks and major libraries
  • Build tools and package managers
  • Testing frameworks
Core Principles
  • Code style and conventions observed
  • Documentation standards
  • Testing approach
Current State
  • Active branch
  • Recent changes or development focus
  • Any immediate observations or concerns

Make this summary easy to scan - use bullet points and clear headers.

© coleam00, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/prime-codebase of coleam00/skills.

Open the folder on GitHubat commit dfaa910

Compare with similar skills

Prime Codebase next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Prime Codebase compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Prime Codebase this skillcoleam00/skills670—~887Automated safety check: PassMIT
Code Overview To Confluencetestdouble/han279—~2.3kAutomated safety check: PassMIT
Akb Ingestdnotitia/akb161—~2kAutomated safety check: PassCustom licence
Atlassiansanjay3290/ai-skills430—~1.6kAutomated safety check: PassApache-2.0
Atlassian MCP ExpertJeffallan/claude-skills12k—~1.3kAutomated safety check: PassMIT
Refining iOS Requirementsbitwarden/ios694—~809Automated safety check: PassGPL-3.0

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Categories

Questions about Prime Codebase

What does Prime Codebase do?

Primes the agent with deep codebase understanding by analyzing structure, documentation, and key files. Prime Codebase is an agent skill from coleam00/skills. Primes the agent with deep codebase understanding by analyzing structure, documentation, and key files.

When should I use Prime Codebase?

Prime Codebase fits situations like: starting work on a codebase; at the beginning of a session; you need a fast orientation before planning.

How do I install Prime Codebase in Claude Code?

Run `npx skills add coleam00/skills --skill prime-codebase -a claude-code`. Or copy the skill folder (.claude/skills/prime-codebase in coleam00/skills) into .claude/skills/prime-codebase in your project. Claude Code loads it when a task matches its description.

How do I install Prime Codebase in Codex?

Run `npx skills add coleam00/skills --skill prime-codebase -a codex`. Or copy the skill folder (.claude/skills/prime-codebase in coleam00/skills) into .agents/skills/prime-codebase in your project. Codex loads it when a task matches its description.

Can I use Prime Codebase 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 coleam00/skills --skill prime-codebase -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prime-codebase, .gemini/skills/prime-codebase, .github/skills/prime-codebase and .opencode/skills/prime-codebase in your project.

What does Prime Codebase need to run?

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

Does Prime Codebase 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 Prime Codebase 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 Prime Codebase use?

Prime Codebase is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Prime Codebase use?

About 887 tokens (SKILL.md is roughly 3.5k 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 Prime Codebase?

Skills that share tags, products or a category with Prime Codebase: Code Overview To Confluence (testdouble/han, 279 stars), Akb Ingest (dnotitia/akb, 161 stars), Atlassian (sanjay3290/ai-skills, 430 stars) and Atlassian MCP Expert (Jeffallan/claude-skills, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prime Codebase?

coleam00 (a GitHub user) maintains it in coleam00/skills, which has 670 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on September 17, 2026.

Source: coleam00/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.