project-bootstrap
Skill1 starsChanged 3 months agoMITView on GitHub
Full 17-step lifecycle orchestrator for new and existing projects, environment initialization, stack selection, baseline documentation, and release readiness.
- Reads credentials
40 other projects use a version of this.
Adopted by
Most recently taken up by
- ice-lfernandes/claude-spring-architecttheir own version, first seen Nov 7, 2026
- nerviz-ai/nerviztheir own version, first seen Nov 7, 2026
- Cure-Consulting-Group/ProductEngineeringSkillstheir own version, first seen Nov 4, 2026
- NoobyGains/godmodetheir own version, first seen Nov 1, 2026
- jerseycheese/agent-skillstheir own version, first seen Oct 28, 2026
- alfonsusenrico/pakemtheir own version, first seen Oct 25, 2026
Used with
Projects with it also use delivery-planning, diagnose and 4 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.
lzx-BillSkilldelivery-planning
Use when breaking work into tasks, planning milestones, mapping dependencies, sequencing implementation, or maintaining backlog and in-progress views. Trigger when user says "task breakdown", "milestone", "dependencies", "backlog", "sprint", "implementation plan", "delivery plan", or asks to "break this down into tasks". Coordinate with prompt-authoring for task-to-prompt mapping and with acceptance-design for task-to-acceptance mapping.
Also in 3 projects that use this
MicrosoftSkilldiagnose
Use to systematically diagnose why scenarios fail — identifies root causes by analyzing agent traces, codebase, and behavioral patterns
Also in 3 projects that use this
MicrosoftSkillapi-design
Guide for designing and documenting RESTful APIs. Use when asked to design an API, create endpoints, or document an API.
Also in 3 projects that use this
GoogleSkilltdd
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
Also in 3 projects that use this
GoogleSkillgrill-me
A relentless interview to sharpen a plan or design.
Also in 3 projects that use this
- +1 more from google
Other versions40 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 40
- NoobyGains/godmode★ 118same name
- ice-lfernandes/claude-spring-architect★ 11same name
- nerviz-ai/nerviz★ 11same name
- Mozurok/fhorja.dev★ 10same name
- m16khb-org/issueops★ 6same name
- Eydenn/loomy★ 4same name
- fortmort/jeltz★ 4same name
- jerseycheese/agent-skills★ 4same name
- Cure-Consulting-Group/ProductEngineeringSkills★ 3same name
- hams-ollo/zen-agent-skills★ 2same name
30 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 repository30 other files it gives its agents.
- AGENTS.mdAGENTS.md
- adr-managementSkill
- agentic-developmentSkill
- ci-cdSkill
- code-architectureSkill
- database-postgresqlSkill
- data-engineeringSkill
- debuggingSkill
- deep-learningSkill
- dependency-managementSkill
- deploymentSkill
- dockerSkill
- documentation-orchestratorSkill
- documentationSkill
- environment-guardrailsSkill
- frontend-react-typescriptSkill
- git-githubSkill
- machine-learningSkill
- observabilitySkill
- performance-optimizationSkill
- portfolio-readinessSkill
- project-knowledgeSkill
- python-apiSkill
- python-environmentSkill
- rag-ocr-llmSkill
- release-engineeringSkill
- reusable-componentsSkill
- security-secretsSkill
- supply-chain-securitySkill
- testing-qualitySkill
The file
We split this skill into the rules it gives an agent
7 rules. 0 are common, 2 are distinctive, and 5 are very specific to this project.
0
Common
Most of the 32 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 10
Use this skill when:
- Distinctive: line 26
Workspace State: Ensure clean directory tree before initializing files.
- Very specific: line 123
Create pyproject.toml with separate runtime and dev dependencies:
- Very specific: line 160
Create directory tree and populate .gitignore:
- Very specific: line 183
Create tests/conftest.py with FastAPI TestClient fixture.
- Very specific: line 202
NEVER commit
.venv/or raw datasets without.gitkeep: Ensure .gitignore is populated immediately. - Very specific: line 204
NEVER omit
.env.example: Always maintain sanitized configuration templates.
“Common” is measured: kept by at least 6 in 10 of the 32 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
Project Bootstrap Skill (V2 Lifecycle Orchestrator)
1. When Should I Use This?
Use this skill when:
- Bootstrapping any brand-new software project, repository, microservice, or system from scratch.
- Orchestrating the end-to-end initialization workflow across architecture, environment, tooling, documentation, and security.
- Restructuring or standardizing an existing disorganized codebase into a production-grade system.
2. What Should I Inspect First?
- Target Domain & Archetype:
- Python Backend API (FastAPI)
- Fullstack Application (React 19 + TypeScript + FastAPI/Node)
- Machine Learning / Deep Learning Research Platform
- Time-Series / Data Engineering Platform
- Small CLI / Automation Script
- Runtime & Hardware Constraints: Python version (>=3.11/3.12), Node.js (>=20), GPU availability (
nvidia-smi), target hosting platform. - Workspace State: Ensure clean directory tree before initializing files.
3. What Workflow Should I Follow?
┌─────────────────────────────────────────────────────────────┐
│ 1. CLASSIFY PROJECT (Utility vs ML vs Fullstack vs Prod) │
└──────────────────────────────┬──────────────────────────────┘
│
┌──────────────────────────────▼──────────────────────────────┐
│ 2. SELECT TECH STACK (FastAPI, React, PostgreSQL, uv, etc.) │
└──────────────────────────────┬──────────────────────────────┘
│
┌──────────────────────────────▼──────────────────────────────┐
│ 3. ENVIRONMENT SETUP (Create .venv FIRST before packages) │
└──────────────────────────────┬──────────────────────────────┘
│
┌──────────────────────────────▼──────────────────────────────┐
│ 4. DEPENDENCY SETUP (pyproject.toml, uv.lock, package.json) │
└──────────────────────────────┬──────────────────────────────┘
│
┌──────────────────────────────▼──────────────────────────────┐
│ 5. REPOSITORY STRUCTURE (Standard layered directories) │
└──────────────────────────────┬──────────────────────────────┘
│
┌──────────────────────────────▼──────────────────────────────┐
│ 6. CONFIGURE AGENTS.md & RELEVANT SKILLS (.agents/skills/) │
└──────────────────────────────┬──────────────────────────────┘
│
┌──────────────────────────────▼──────────────────────────────┐
│ 7. CHECK MCP AVAILABILITY (Memory, Database, DevTools) │
└──────────────────────────────┬──────────────────────────────┘
│
┌──────────────────────────────▼──────────────────────────────┐
│ 8. DOCUMENTATION PLAN (Adaptive minimum documentation suite)│
└──────────────────────────────┬──────────────────────────────┘
│
┌──────────────────────────────▼──────────────────────────────┐
│ 9. TESTING PLAN (Pytest harness, conftest.py, test fixtures)│
└──────────────────────────────┬──────────────────────────────┘
│
┌──────────────────────────────▼──────────────────────────────┐
│ 10. SECURITY BASELINE (.env.example, SecretStr, .gitignore) │
└──────────────────────────────┬──────────────────────────────┘
│
┌──────────────────────────────▼──────────────────────────────┐
│ 11. OBSERVABILITY BASELINE (Structured JSON logs, req IDs) │
└──────────────────────────────┬──────────────────────────────┘
│
┌──────────────────────────────▼──────────────────────────────┐
│ 12. IMPLEMENTATION (Domain logic, routes, schemas, models) │
└──────────────────────────────┬──────────────────────────────┘
│
┌──────────────────────────────▼──────────────────────────────┐
│ 13. VERIFICATION (Unit, integration, and linting suites) │
└──────────────────────────────┬──────────────────────────────┘
│
┌──────────────────────────────▼──────────────────────────────┐
│ 14. DOCUMENTATION EXECUTION (README, ARCHITECTURE, ADRs) │
└──────────────────────────────┬──────────────────────────────┘
│
┌──────────────────────────────▼──────────────────────────────┐
│ 15. RELEASE READINESS (SemVer, Dockerfile, CI workflow) │
└─────────────────────────────────────────────────────────────┘4. Detailed Execution Steps
Step 1: Classify & Select Stack
Determine the project archetype and lock in the toolchain:
- Python API: FastAPI + Pydantic v2 + SQLAlchemy/Prisma +
uv - Frontend: React 19 + TypeScript + Vite + Tailwind CSS + TanStack Query
- ML / Data: Scikit-Learn / XGBoost / PyTorch / Pandas / Parquet
Step 2: Environment Setup (CRITICAL: Before Dependencies)
# 1. Pin Python version
echo "3.12" > .python-version
# 2. Create isolated virtual environment
uv venv .venv --python 3.12
# 3. Configure IDE interpreter
mkdir -p .vscode
cat << 'EOF' > .vscode/settings.json
{
"python.defaultInterpreterPath": "${workspaceFolder}/.venv/bin/python",
"python.analysis.typeCheckingMode": "basic"
}
EOFStep 3: Dependency Setup & Manifests
Create pyproject.toml with separate runtime and dev dependencies:
[project]
name = "my-service"
version = "0.1.0"
requires-python = ">=3.12"
dependencies = [
"fastapi>=0.110.0,<1.0.0",
"pydantic>=2.7.0,<3.0.0",
"pydantic-settings>=2.2.0",
"uvicorn>=0.28.0",
]
[project.optional-dependencies]
dev = [
"pytest>=8.0.0",
"pytest-cov>=5.0.0",
"ruff>=0.3.0",
"mypy>=1.9.0",
"httpx>=0.27.0",
]
[tool.ruff]
line-length = 88
target-version = "py312"
[tool.pytest.ini_options]
testpaths = ["tests"]
addopts = "-v --tb=short"# Sync dependencies and generate lockfile
uv syncStep 4: Repository Layout & Git Hygiene
Create directory tree and populate .gitignore:
mkdir -p app/{api/v1/{routes,schemas,dependencies},core,services,models,utils} tests/{unit,integration} docs/decisions# .gitignore
.venv/
__pycache__/
*.pyc
.env
.env.local
.pytest_cache/
.coverage
dist/
build/
datasets/raw/*
!datasets/raw/.gitkeepStep 5: Universal Governance & Quality Baselines
- Copy or symlink
AGENTS.mdand.agents/skills/. - Generate
.env.examplewith sanitized placeholder keys. - Create
tests/conftest.pywith FastAPITestClientfixture. - Set up structured logging with correlation IDs in
app/core/logging.py. - Set up health probe
/api/v1/healthinapp/main.py.
4. What Decisions Should I Make?
| Decision Point | Standard Recommendation |
| Virtual Environment Creation | ALWAYS create .venv/ BEFORE running any pip or uv add commands. |
| Documentation Scope | Determine minimum document suite using documentation-orchestrator. |
| Package Manager | Default to uv for new Python projects. |
5. What Should I Avoid?
- NEVER install dependencies before creating
.venv/: Environment initialization must precede package installation. - NEVER commit
.venv/or raw datasets without.gitkeep: Ensure.gitignoreis populated immediately. - NEVER create monolith god-files: Split endpoints, services, schemas, and models from day one.
- NEVER omit
.env.example: Always maintain sanitized configuration templates.
6. How Should I Verify Success?
# 1. Confirm environment isolation
python -c "import sys; assert '.venv' in sys.executable, 'CRITICAL: Global python detected!'"
# 2. Run initial test suite
uv run pytest -v
# 3. Check linting and formatting
uv run ruff check .
uv run ruff format --check .
# 4. Check git status
git statusDoes it work?
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