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/cs:fullstack-review — Fullstack engineering review — measured AI agent skill | DecimalAI

alirezarezvani/csfullstack-review-fullstack-engineering-review

SkillScore100Maintained

Fullstack engineering review — walks the 7 Matt Pocock forcing questions, picks the profile, forks into POWERFUL specialists (api-design-reviewer, database-designer, slo-architect). Invokes the cs-fullstack-engineer agent with context fork.

by alirezarezvani

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Coding pack

decimalai skills pull alirezarezvani-csfullstack-review-fullstack-engineering-review

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/alirezarezvani-csfullstack-review-fullstack-engineering-review/SKILL.md

Raw file: /s/alirezarezvani-csfullstack-review-fullstack-engineering-review/SKILL.md ↗ · machine-readable summary at /s/alirezarezvani-csfullstack-review-fullstack-engineering-review.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

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Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 4d ago

Yes — +86% lift-19% tokens0% turns100% of whole cases pass with skill (22/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-01	✗→✓	▲ Improved	33%	0%
case-02	✗→✓	▲ Improved	-75%	0%
case-03	✗→✓	▲ Improved	55%	0%
case-04	✗→✓	▲ Improved	46%	0%
case-05	✗→✓	▲ Improved	-50%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

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

alirezarezvani / claude-skills

.gemini/skills/cs-fullstack-review/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

Skill contents

SKILL.md

/cs:fullstack-review — Fullstack engineering review

Use the cs-fullstack-engineer agent (which uses context: fork to keep the parent thread clean) to handle this inquiry:

$ARGUMENTS

Forcing-question library

Canonical source: engineering-team/skills/senior-fullstack/references/forcing_questions.md (7 questions, one-per-turn, recommendation + canon citation per question).

Team size now + 12-month headcount
Deployment cadence (per-PR / daily / weekly / quarterly)
Customer-facing / internal tool / marketing site
One-year p50 + p99 traffic forecast
Hiring-against vs training-into the stack
Year-one monthly cloud + SaaS budget ceiling
Three verifiable success criteria with numeric targets

Routing protocol

Walk the 7 forcing questions in engineering-team/skills/senior-fullstack/references/forcing_questions.md. One per turn. Recommend the answer with cited canon. Track in /tmp/fullstack-grill-<date>.md.
Surface kill criteria — if any question trips one (e.g., "microservices day 1, team size 3"), STOP and resolve before proceeding.
Run the deterministic profile picker:

bash python engineering-team/skills/senior-fullstack/scripts/fullstack_decision_engine.py \ --team-size <N> --team-size-12mo <N12> --cadence <c> \ --user-facing <true|false> --budget <USD/mo> \ --traffic-p99-rps <N> --data-sensitivity <tier>

Surface the matched profile + runner-up tradeoff (if within 15%).
Fork into specialists (one at a time, depth-first):

api-design-reviewer for API contract
database-designer for schema
slo-architect for reliability target
ci-cd-pipeline-builder for the pipeline
performance-profiler for perf baseline
cs-karpathy-reviewer before any commit

Output expectations (≤ 200-word digest)

Matched profile + reason
Three verifiable success criteria with numeric targets
Named approver chain
List of specialists invoked + artifact paths
Recommended next sub-skill (if any)

Anti-patterns

❌ Bundling forcing questions — one per turn.
❌ Skipping the kill-criteria check.
❌ Reimplementing specialist scope. Fork — don't duplicate.
❌ Auto-approving production changes. Always name the human approver.

Customization

Profiles live at engineering-team/skills/senior-fullstack/profiles/. To customize for your org:

Copy saas-startup.json (or whichever best fits) to <your-org>.json.
Edit constraints, stack_recommendations, success_thresholds, named_approver_chain.
The decision engine auto-discovers new profile JSONs.

Related commands

/cs:frontend-review — frontend-only deep dive
/cs:backend-review — backend-only deep dive
/cs:engineer-grill — cross-role 21-question forcing-question runner
/karpathy-check — Karpathy 4-principle review before commit

Want to see if alirezarezvani/csfullstack-review-fullstack-engineering-review would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.