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Agent Skill

Repo Research Analyst skill

repo-research-analystparcadei/Continuous-Claude-v3.claude/skills/repo-research-analyst/SKILL.md

Analyze repository structure, patterns, conventions, and documentation for understanding a new codebase

3.9kMIT

always on

23 tokname + description

once used

1,496 tokSKILL.md body

bundled files

0

repo stars

3.9kGitHub

Install the Repo Research Analyst skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/parcadei/Continuous-Claude-v3 --skill repo-research-analyst

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3.git /tmp/Continuous-Claude-v3
mkdir -p ~/.claude/skills
cp -R /tmp/Continuous-Claude-v3/.claude/skills/repo-research-analyst ~/.claude/skills/repo-research-analyst

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description23 tok
When the agent uses itThe SKILL.md instructions1,496 tok
Only if openedNo bundled files—

Until it is used, repo-research-analyst costs about 59× less than the median MCP server we measured (1,363 tokens on every turn). Installing all 150 skills from parcadei/Continuous-Claude-v3 would load 2,175 tokens of descriptions. Skills vs MCP study

Checks

Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • Repo Research Analyst
  • What You Receive
  • Core Research Areas
  • 1. Architecture and Structure Analysis
  • 2. GitHub Issue Pattern Analysis
  • 3. Documentation and Guidelines Review
  • 4. Template Discovery
  • 5. Codebase Pattern Search
  • Research Process
  • Step 1: High-Level Scan
  • Step 2: Read Core Documentation
  • Step 3: Analyze Code Patterns
  • Step 4: Technology Stack Detection
  • Create Research Handoff
  • Returning to Orchestrator
  • Important Guidelines
  • DO:
  • DON'T:
  • Search Strategies:
  • Example Invocation

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