onboard
Skill871 starsChanged 5 months agoMITView on GitHub
Get oriented in an unfamiliar codebase fast. An Explore-subagent-driven tour that goes from a one-paragraph overview down to architecture, data models, auth, conventions, and a glossary — without flooding your main context. Use on a repo you're new to.
165 other projects use a version of this.
Adopted by
Most recently taken up by
- ggoosen/Digital-Workforcetheir own version, first seen Nov 8, 2026
- joeldevz/skynex-pitheir own version, first seen Nov 8, 2026
- eggs-gd/career-spacetheir own version, first seen Nov 8, 2026
- Codename-11/SubFrametheir own version, first seen Nov 8, 2026
- passion4it-gmbh/passionfruit-sitetheir own version, first seen Nov 5, 2026
- striderZA/OpenCodeGameStudiostheir own version, first seen Nov 4, 2026
Used with
Projects with it also use soak-test, team-live-ops and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
lilangMaxSkillsoak-test
Generate a soak test protocol for extended play sessions. Defines what to observe, measure, and log during long play sessions to surface slow leaks, fatigue effects, and edge cases that only appear after sustained play. Primarily used in Polish and Release phases.
Also in 9 projects that use this
lilangMaxSkillteam-live-ops
Orchestrate the live-ops team for post-launch content planning: coordinates live-ops-designer, economy-designer, analytics-engineer, community-manager, writer, and narrative-director to design and plan a season, event, or live content update.
Also in 9 projects that use this
HK-hubSkillteach-impeccable
One-time setup that gathers design context for your project and saves it to your AI config file. Run once to establish persistent design guidelines.
Also in 19 projects that use this
CoralGameSkillproject-stage-detect
Automatically analyze project state, detect stage, identify gaps, and recommend next steps based on existing artifacts.
Also in 15 projects that use this
CoralGameSkillteam-level
Orchestrate level design team: level-designer + narrative-director + world-builder + art-director + systems-designer + qa-tester for complete area/level creation.
Also in 11 projects that use this
- +5 more from lilangMax
- +2 more from CoralGame
Other versions165 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 165
- Donchitos/Claude-Code-Game-Studios★ 27ksame name
- parcadei/Continuous-Claude★ 3.9ksame name
- parcadei/Continuous-Claude-v2★ 3.9ksame name
- parcadei/Continuous-Claude-v3★ 3.9ksame name
- nateherkai/AIS-OS★ 1.4ksame name
- talesofai/cohub★ 585same name
- me2resh/apexyard★ 542same name
- nexmoe/DayBee★ 424same name
- nexmoe/eve★ 424same name
- Southclaws/storyden★ 348same name
155 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository14 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- catchupSkill
- claude-mdSkill
- context-budgetSkill
- debug-fixSkill
- explainSkill
- fix-issueSkill
- pr-reviewSkill
- refactorSkill
- setupdotclaudeSkill
- shipSkill
- specSkill
- tddSkill
- test-writerSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 153 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 54
If the repo is empty or trivial (no source beyond config), say so plainly instead of padding the brief.
- Distinctive: line 60
Prefer several focused Explore subagents over reading everything in the main context.
- Distinctive: line 61
Don't invent structure you didn't verify.
“Common” is measured: kept by at least 6 in 10 of the 153 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Build a mental model of a codebase you're new to — broad first, then narrowing — the way the Claude Code onboarding recipe prescribes. Read only; never modify anything. Delegate the heavy reading to Explore subagents so their file dumps stay out of this conversation and only the summaries return.
Orientation (injected — already in front of you)
Top level:
ls -1 "${CLAUDE_PROJECT_DIR:-.}" 2>/dev/null | head -40Manifests / entry points present at the root:
ls -1 "${CLAUDE_PROJECT_DIR:-.}" 2>/dev/null | grep -iE '^(package\.json|pyproject\.toml|go\.mod|cargo\.toml|gemfile|composer\.json|pom\.xml|build\.gradle|makefile|dockerfile|readme)' || echo "(no standard manifest at root — this may be a subdir or an unusual layout)"Step 1: Dispatch the tour
Launch Explore subagents (in parallel where independent) to answer these, starting broad and narrowing. If $ARGUMENTS names a focus area, weight every prompt toward it.
- Overview — what this project is, who uses it, the top-level layout and what each major directory holds. Point the agent at the README and manifests first.
- Architecture — the main patterns, the entry points, how one request (or CLI invocation) flows end to end, and the module boundaries (what must not depend on what).
- Data models — the core domain types/entities/tables and their relationships, and where they're defined.
- Auth & security — how authentication and authorization work, where secrets/config load from, and the trust boundaries.
- Conventions — naming, file layout, test style and framework, error-handling and logging patterns, and the real build/test/lint commands from the manifests.
Each Explore prompt must ask for a tight summary with file:path pointers, NOT pasted file contents.
Step 2: Synthesize the brief
Merge the returns into one scannable onboarding brief — nothing pasted verbatim, everything a pointer:
# Onboarding: <project>
**What it is**: <2-3 sentences>
**Stack**: <languages, frameworks, key libraries>
**Architecture**: <the 3-5 load-bearing facts + entry points, as file:path>
**Data model**: <core entities and where they live>
**Auth & boundaries**: <how auth works, where secrets load>
**Conventions**: <naming, tests, error handling — the house style>
**Run it**: <build / test / lint commands>
**Glossary**: <project-specific terms an outsider wouldn't know>
**Start here**: <the 2-3 files to read first for the focus area>If the repo is empty or trivial (no source beyond config), say so plainly instead of padding the brief.
Rules
- Strictly read-only. This skill maps the code; it never changes it.
- Summaries and
file:linepointers only — never paste large files or diffs into the brief. - Prefer several focused Explore subagents over reading everything in the main context; keeping exploration out of this conversation is the whole point.
- Don't invent structure you didn't verify. If an area (e.g. auth) doesn't exist, say "none found" — don't fabricate one.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

