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Is Cs Fullstack Review free to use?

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Who published Cs Fullstack Review?

JantonioFC (@jantoniofc) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Cs Fullstack Review by jantoniofc — Agent Skill

Name: Cs Fullstack Review
Rating: 4.2 (5 reviews)
Author: JantonioFC

Cs Fullstack Review

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.

JantonioFC Updated Sep 8, 2026 6 repo stars

File contents

/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:

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

---name: cs-fullstack-reviewdescription: 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.---# /cs:fullstack-review — Fullstack engineering reviewUse the `cs-fullstack-engineer` agent (which uses `context: fork` to keep the parent thread clean) to handle this inquiry:**$ARGUMENTS**## Forcing-question libraryCanonical source: `engineering-team/skills/senior-fullstack/references/forcing_questions.md` (7 questions, one-per-turn, recommendation + canon citation per question).1. Team size now + 12-month headcount2. Deployment cadence (per-PR / daily / weekly / quarterly)3. Customer-facing / internal tool / marketing site4. One-year p50 + p99 traffic forecast5. Hiring-against vs training-into the stack6. Year-one monthly cloud + SaaS budget ceiling7. Three verifiable success criteria with numeric targets## Routing protocol1. **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`.2. **Surface kill criteria** — if any question trips one (e.g., "microservices day 1, team size 3"), STOP and resolve before proceeding.3. **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> ```4. **Surface the matched profile + runner-up tradeoff** (if within 15%).5. **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.## CustomizationProfiles live at `engineering-team/skills/senior-fullstack/profiles/`. To customize for your org:1. Copy `saas-startup.json` (or whichever best fits) to `<your-org>.json`.2. Edit `constraints`, `stack_recommendations`, `success_thresholds`, `named_approver_chain`.3. 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

Frequently asked questions