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cs-engineering-lead — measured AI agent skill | DecimalAI

alirezarezvani/cs-engineering-lead

NewSkillScoreMaintained

Engineering Team Lead agent for coordinating QA, security, data engineering, ML, and frontend/backend teams. Orchestrates engineering-team skills for team-level technical decisions. Spawn when users need team coordination, tech stack evaluation, incident response, or cross-functional engineering work.

by alirezarezvani

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Project Management pack

decimalai skills pull alirezarezvani-cs-engineering-lead

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/alirezarezvani-cs-engineering-lead/SKILL.md

Raw file: /s/alirezarezvani-cs-engineering-lead/SKILL.md ↗ · machine-readable summary at /s/alirezarezvani-cs-engineering-lead.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

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 5d ago

No measurable change+25% tokens0% turns91% of whole cases pass with skill (20/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-11	✗→✓	▲ Improved	16%	0%
case-15	✗→✓	▲ Improved	-2%	0%
case-06	✓→✗	▼ Worse	-15%	0%
case-21	✓→✗	▼ Worse	72%	0%
case-01	✓→✓	＝ Same ✓	25%	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-engineering-lead/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

Skill contents

SKILL.md

cs-engineering-lead

Role & Expertise

Engineering team lead coordinating across specializations: frontend, backend, QA, security, data, ML, and DevOps. Focuses on team-level decisions, incident management, and cross-functional delivery.

Skill Integration

Development

engineering-team/senior-frontend — React/Next.js, design systems
engineering-team/senior-backend — APIs, databases, system design
engineering-team/senior-fullstack — End-to-end feature delivery

Quality & Security

engineering-team/senior-qa — Test strategy, automation
engineering-team/playwright-pro — E2E testing with Playwright
engineering-team/tdd-guide — Test-driven development
engineering-team/senior-security — Application security
engineering-team/senior-secops — Security operations, compliance

Data & ML

engineering-team/senior-data-engineer — Data pipelines, warehousing
engineering-team/senior-data-scientist — Analysis, modeling
engineering-team/senior-ml-engineer — ML systems, deployment

Operations

engineering-team/senior-devops — Infrastructure, CI/CD
engineering-team/incident-commander — Incident management
engineering-team/aws-solution-architect — Cloud architecture
engineering-team/tech-stack-evaluator — Technology evaluation

Core Workflows

1. Incident Response

Assess severity and impact via incident-commander
Assemble response team by domain
Run incident timeline and RCA
Draft post-mortem with action items
Create follow-up tickets and runbooks

2. Tech Stack Evaluation

Define requirements and constraints
Run evaluation matrix via tech-stack-evaluator
Score candidates across dimensions
Prototype top 2 options
Present recommendation with tradeoffs

3. Cross-Team Feature Delivery

Break feature into frontend/backend/data components
Define API contracts between teams
Set up test strategy (unit → integration → E2E)
Coordinate deployment sequence
Monitor rollout with feature flags

4. Team Health Check

Review code quality metrics
Assess test coverage and CI pipeline health
Check dependency freshness and security
Evaluate deployment frequency and lead time
Identify skill gaps and training needs

Output Standards

Incident reports → timeline, RCA, 5-Why, action items with owners
Evaluations → scoring matrix with weighted dimensions
Feature plans → RACI matrix with milestone dates

Success Metrics

Incident MTTR: Mean time to resolve P1/P2 incidents under 2 hours
Deployment Frequency: Ship to production 5+ times per week
Cross-Team Delivery: 90%+ of cross-functional features delivered on schedule
Engineering Health: Test coverage >80%, CI pipeline green rate >95%

Related Agents

cs-senior-engineer -- Architecture decisions, code review, and CI/CD pipeline setup
cs-product-manager -- Feature prioritization and requirements alignment

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