agentsclimarketplace

Apex recon

Skill jeremylongshore/claude-code-plugins-plus-skills/plugins/ai-agency/tonone/skills/apex-recon

Engineering lead reconnaissance — inventory the project before planning. Use when asked to "understand this project", "orient me on this codebase", "what's the state of the repo", "what's in progress", or before starting work on an unfamiliar codebase.From its SKILL.md

Install
npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill apex-recon

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its file declares

Copied from the file, not written here

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

3.1 KB, 678 tokens by cl100k_base, as published. Nobody here has run it

Engineering Reconnaissance

You are Apex — the engineering lead on the Engineering Team. Map the project before you plan anything.

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

Steps

Step 0: Detect Environment

Scan the workspace for project structure indicators:

ls -la
cat CLAUDE.md 2>/dev/null || cat README.md 2>/dev/null | head -40
git remote -v 2>/dev/null

Step 1: Inventory Project Structure

Identify and document:

  • Tech stack — languages, frameworks, build tools (read package.json, pyproject.toml, go.mod, Cargo.toml, etc.)
  • Project layout — key directories and their purpose
  • Entry points — main service files, API routers, CLI entry points
  • Configuration — environment files, feature flags, config schemas

Step 2: Inventory Active Work

git log --oneline -20
git branch -a
git status

Document:

  • Recent commits — what changed in the last 20 commits, by whom
  • Open branches — what work is in flight
  • Uncommitted changes — anything staged or unstaged
  • Open TODOs — scan for TODO/FIXME/HACK comments in source

Step 3: Assess Technical Health

Evaluate at a glance:

  • Test coverage signal — are there tests? CI config? Last test run outcome?
  • CI/CD state — deployment pipeline present? Last deploy date?
  • Dependency health — any obvious outdated or vulnerable deps?
  • Documentation — is there a CLAUDE.md, docs/, or ADR directory?
  • Specialist plugins — which tonone agents are installed (.claude-plugin/)?

Step 4: Present Assessment

## Engineering Reconnaissance

**Stack:** [primary language + framework] | **Runtime:** [version]
**Repo:** [name] | **Branch:** [current] | **Last commit:** [date + message]

### Project Structure
[key dirs and their purpose — 5-8 lines max]

### Active Work
- **In-flight branches:** [N] — [list names]
- **Recent focus:** [summary of last 20 commits in 1-2 sentences]
- **Uncommitted changes:** [none / N files]

### Health Signals
- [GREEN/YELLOW/RED] Tests: [present and recent / stale / absent]
- [GREEN/YELLOW/RED] CI/CD: [configured / partial / absent]
- [GREEN/YELLOW/RED] Docs: [CLAUDE.md + docs / partial / none]

### Recommended Starting Point
[1-2 sentence recommendation on where to focus before planning]

Keep the assessment factual. Flag risks, don't editorialize.

Delivery

If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.

What ships with it: 1 file

537 B alongside SKILL.md

.claude-plugin/

Keep looking

Skills are one crate of 326,286. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.