Project Guidelines Skill (Example) workflow skill. Use this skill when the user needs Project Guidelines Skill (Example) and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
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SKILL.md
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name
cc-skill-project-guidelines-example-v2
description
Project Guidelines Skill (Example) workflow skill. Use this skill when the user needs Project Guidelines Skill (Example) and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
This public intake copy packages plugins/antigravity-awesome-skills/skills/cc-skill-project-guidelines-example from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.
Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.
This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.
Project Guidelines Skill (Example) This is an example of a project-specific skill. Use this as a template for your own projects. Based on a real production application: Zenith - AI-powered customer discovery platform. ---
Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Architecture Overview, File Structure, Code Patterns, Testing Requirements, Limitations.
When to Use This Skill
Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.
Architecture overview
File structure
Code patterns
Testing requirements
Deployment workflow
Use when the request clearly matches the imported source intent: Project Guidelines Skill (Example).
Operating Table
Situation
Start here
Why it matters
First-time use
metadata.json
Confirms repository, branch, commit, and imported path through the external_source block before touching the copied workflow
Provenance review
ORIGIN.md
Gives reviewers a plain-language audit trail for the imported source
Workflow execution
SKILL.md
Starts with the smallest copied file that materially changes execution
Supporting context
SKILL.md
Adds the next most relevant copied source file without loading the entire package
Handoff decision
## Related Skills
Helps the operator switch to a stronger native skill when the task drifts
Workflow
This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.
All tests passing locally
npm run build succeeds (frontend)
poetry run pytest passes (backend)
No hardcoded secrets
Environment variables documented
Database migrations ready
Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
Imported Workflow Notes
Imported: Deployment Workflow
Pre-Deployment Checklist
All tests passing locally
npm run build succeeds (frontend)
poetry run pytest passes (backend)
No hardcoded secrets
Environment variables documented
Database migrations ready
Deployment Commands
# Build and deploy frontendcd frontend && npm run build
gcloud run deploy frontend --source .
# Build and deploy backendcd backend
gcloud run deploy backend --source .
Use @cc-skill-project-guidelines-example-v2 to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.
Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.
Example 2: Ask for a provenance-grounded review
Review @cc-skill-project-guidelines-example-v2 against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.
Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.
Example 3: Narrow the copied support files before execution
Use @cc-skill-project-guidelines-example-v2 for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.
Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.
Example 4: Build a reviewer packet
Review @cc-skill-project-guidelines-example-v2 using the copied upstream files plus provenance, then summarize any gaps before merge.
Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.
Best Practices
Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.
No emojis in code, comments, or documentation
Immutability - never mutate objects or arrays
TDD - write tests before implementation
80% coverage minimum
Many small files - 200-400 lines typical, 800 max
No console.log in production code
Proper error handling with try/catch
Imported Operating Notes
Imported: Critical Rules
No emojis in code, comments, or documentation
Immutability - never mutate objects or arrays
TDD - write tests before implementation
80% coverage minimum
Many small files - 200-400 lines typical, 800 max
No console.log in production code
Proper error handling with try/catch
Input validation with Pydantic/Zod
Troubleshooting
Problem: The operator skipped the imported context and answered too generically
Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills/skills/cc-skill-project-guidelines-example, fails to mention provenance, or does not use any copied source files at all.
Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.
Problem: The imported workflow feels incomplete during review
Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task.
Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.
Problem: The task drifted into a different specialization
Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better.
Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.
Related Skills
@00-andruia-consultant - Use when the work is better handled by that native specialization after this imported skill establishes context.
@00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
@10-andruia-skill-smith - Use when the work is better handled by that native specialization after this imported skill establishes context.
@10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
Additional Resources
Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.
Resource family
What it gives the reviewer
Example path
references
copied reference notes, guides, or background material from upstream
references/n/a
examples
worked examples or reusable prompts copied from upstream
examples/n/a
scripts
upstream helper scripts that change execution or validation
scripts/n/a
agents
routing or delegation notes that are genuinely part of the imported package
agents/n/a
assets
supporting assets or schemas copied from the source package
# Run all tests
poetry run pytest tests/
# Run with coverage
poetry run pytest tests/ --cov=. --cov-report=html
# Run specific test file
poetry run pytest tests/test_auth.py -v
Test structure:
import pytest
from httpx import AsyncClient
from main import app
@pytest.fixtureasyncdefclient():
asyncwith AsyncClient(app=app, base_url="http://test") as ac:
yield ac
@pytest.mark.asyncioasyncdeftest_health_check(client: AsyncClient):
response = await client.get("/health")
assert response.status_code == 200assert response.json()["status"] == "healthy"
Frontend (React Testing Library)
# Run tests
npm run test# Run with coverage
npm run test -- --coverage
# Run E2E tests
npm run test:e2e
