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repo-onboarding · jnmetacode | DecimalAI

codingby jnmetacode

repo-onboarding

jnmetacode/repo-onboarding

Source jnmetacode/skillet ↗License MIT

Systematically map an unfamiliar codebase before changing it — entry points, build/test loop, conventions, data flow.

SkillScore57Maintained

Automatic

Coding pack

Last verified 8/3/2026

What it changes

Passed 11 of 19 test cases with the skill, and 9 of 19 without it.

Without skill48%

With skill57%

Checks it passed that the model alone missed

Allocates 15 minutes for completing the full initial repository orientation.
Evaluates error handling patterns and naming conventions from recent source commits.
Recommends reading README and package manifest files before inspecting source code files.

and 1 more in the full report

3 fixed10 passed either way9 still failing1 broke

Pass-rate lift: +9 pp
Tokens: -10%
Agent turns: 0%
Response time: -38%

Model gemini-3.6-flashMeasured 8/3/2026v113 of 23 cases passed with skill · 19 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/jnmetacode-repo-onboarding/SKILL.md https://app.decimal.ai/s/jnmetacode-repo-onboarding/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add jnmetacode-repo-onboarding, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/jnmetacode-repo-onboarding/ and pins it in .decimal/skills.lock

decimalai skills add jnmetacode-repo-onboarding

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/jnmetacode-repo-onboarding/SKILL.md https://app.decimal.ai/s/jnmetacode-repo-onboarding/SKILL.md

Raw file: /s/jnmetacode-repo-onboarding/SKILL.md ↗ · machine-readable summary at /s/jnmetacode-repo-onboarding.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 3

Prompt

I was assigned to onboard onto a microservice codebase. How much time should I allocate for the initial structured orientation procedure before starting code modifications?

What was checked, without and with the skill
Checked	Without skill	With skill
Allocates 15 minutes for completing the full initial repository orientation.	Missed	Passed

case-19 · gemini-3.6-flash · 8/3/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md41 linessingle file

repo-onboarding

Resist editing until you can answer: how do I run it, how do I test it, where does the change go, and what style does this house write in?

Procedure (15 minutes, in order)

The README + manifest first. README.md, then the manifest (package.json / pyproject.toml / go.mod / Cargo.toml): name, scripts, dependencies. The scripts block is the repo telling you its verbs.
Find the entry points. bin/main fields, src/index.*, cmd/, __main__.py. Trace one request/command end-to-end at skim depth — names only, no line-reading.
Establish the test loop before touching anything. Run the test command; record how long it takes and whether it's green at HEAD. A red baseline changes everything you conclude later.
Map the directories (one line each, only top two levels). Mark the ones that are generated/vendored so you never read them again.
Sample the house style. Open the 2–3 most-recently-changed source files (git log --name-only -10): error handling pattern, naming, comment density, test structure. Your changes should be indistinguishable from these.
Find the seams. Where does config enter? Where is I/O isolated? What is the one module everything imports? That module is load-bearing — changes there need the most care.
Check the repo's own rules: CONTRIBUTING.md, CLAUDE.md, .github/ workflows (what CI actually enforces), lint configs.

Output

Write a short map (10–20 lines) before starting the actual task:

run:   npm start (src/cli.js)        test: npm test, ~6s, green at HEAD
flow:  cli.js → commands/* → store.js (all persistence) → index.json
style: ESM, no deps, errors thrown as plain Error, tests in test/*.test.js
care:  store.js is imported everywhere; schema changes ripple
rules: CI runs lint+test on 3 OS; commits are conventional

Keep it honest — list what you didn't look at, so later-you knows where the

Track record

Benchmark

11 / 19

test cases passed, vs 9 / 19 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/1/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

jnmetacode / skillet

skills/repo-onboarding/SKILL.md

View on GitHub ↗

License MITImported 8/1/2026Version v1

Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

adityaarakeri/repo-reconSystematically map an unfamiliar codebase before changing anything in it. Use this whenever work starts in a repo, service, or module that has not been explored in the current session, when the user says things like "new codebase", "help me understand this project", "onboard me", or before any non-trivial change where the surrounding code is unknown. Also reach for it after a change failed because of a wrong assumption about project structure or conventions.Close match-14 pp pass-rate lift

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

repo-onboarding

Procedure (15 minutes, in order)

Output

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

Related skills