Run a CI-only variant of Simplify & Harden in pull requests:
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionsimplify-and-harden-ciExecute the skills CLI command in your project's root directory to begin installation:
Fetches simplify-and-harden-ci from pskoett/pskoett-ai-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate simplify-and-harden-ci. Access via /simplify-and-harden-ci in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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npx skills add pskoett/pskoett-ai-skills/skills/simplify-and-harden-ci
Run a CI-only variant of Simplify & Harden in pull requests:
Use simplify-and-harden for interactive/local coding sessions.
CI agents do not have the same peak implementation context as the coding agent that wrote the change. Treat CI findings as structured review signals, not as full intent-aware rewrites.
Implications:
gh auth status)gh-aw installed locally for authoring/validation:gh extension install github/gh-aw
- uses: github/gh-aw/actions/setup-cli@main
with:
version: v0.2.0-beta
The CI skill must enforce:
simplify_and_harden summary payloadcritical: fail check when critical harden findings existadvisory (optional): fail check when advisory findings are configured to blockExample-only template lives in references/workflow-example.md.
Keep it outside .github/workflows until you explicitly want automation enabled.
When ready to enable:
references/workflow-example.md template block into .github/workflows/simplify-and-harden-ci.md.gh aw compile --validate --strict
gh aw run simplify-and-harden-ci --push
Use this prompt body in your gh-aw workflow:
Run Simplify & Harden in CI (headless mode) for this pull request.
Rules:
1) Review only files changed in this PR.
2) Do not modify repository files.
3) Before reporting findings, re-read all changed code with "fresh eyes" and actively look for obvious bugs, errors, confusing logic, brittle assumptions, naming issues, and missed hardening opportunities.
4) Simplify pass: detect dead code, naming clarity issues, control-flow complexity, unnecessary API surface, and over-abstraction.
5) Harden pass: detect input-validation gaps, injection vectors, auth/authz issues, secret exposure, data leaks, and concurrency risks.
6) Document pass: suggest non-obvious rationale comments as findings (do not edit files).
7) Emit structured YAML under key `simplify_and_harden`, including:
- simplify findings
- harden findings (critical/advisory split)
- summary counts
- `review_followup_required`
- learning loop candidates for self-improvement ingestion
8) If blocking policy is enabled and matching findings exist, mark the run as failed.
Forward simplify_and_harden.learning_loop.candidates into
.learnings/LEARNINGS.md via the self-improvement workflow so recurrent
patterns can be promoted into durable agent context rules.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Useful defaults in simplify-and-harden-ci — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: simplify-and-harden-ci is the kind of skill you can hand to a new teammate without a long onboarding doc.
simplify-and-harden-ci is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
simplify-and-harden-ci reduced setup friction for our internal harness; good balance of opinion and flexibility.
simplify-and-harden-ci has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for simplify-and-harden-ci matched our evaluation — installs cleanly and behaves as described in the markdown.
We added simplify-and-harden-ci from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
simplify-and-harden-ci reduced setup friction for our internal harness; good balance of opinion and flexibility.
simplify-and-harden-ci fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for simplify-and-harden-ci matched our evaluation — installs cleanly and behaves as described in the markdown.
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