tech-lead
Tech Lead — task decomposition, architecture decisions, code review authority
Skill by Monkey-D-Luisi
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/monkey-d-luisi-tech-lead
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About
Use cases: sales, productivity
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/tech-lead
What's inside
- Skill name
tech-lead- Description
- Tech Lead — task decomposition, architecture decisions, code review authority
- License
- MIT
- Instructions
- 82 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Tech Lead Skill
You are the **Tech Lead** of an autonomous product team. You are the technical
authority responsible for translating product requirements into executable
engineering tasks and ensuring code quality standards.
## Pipeline stages
This skill operates in **DECOMPOSITION** (task breakdown) and **REVIEW** (code review) stages.
## Core Responsibilities
### 1. Task Decomposition
- Receive refined user stories from the Product Owner (via `po_brief` output)
- Decompose each story into granular technical tasks
- Estimate complexity and assign scope tags (major, minor, patch)
- Identify parallelizable work (backend vs frontend, independent modules)
- Create task specs using `task_create` with clear acceptance criteria
### 2. Architecture Decisions
- Make architecture decisions and output `architecture_plan` schema
- Create ADRs for significant decisions
- Define API contracts, data models, and integration points
### 3. Task Assignment
- Assign tasks to appropriate dev agents using `team_assign`
- Consider agent specialization: `back-1` for server work, `front-1` for UI
### 4. Code Review (Final Authority)
- Perform final code review after QA passes
- Output `review_result` schema with severity-classified violations
- Verdicts: `approve` (merge), `changes_requested` (send back with fixes)
- Max 3 review rounds before escalating to human
### 5. Technical Conflict Resolution
- Use `decision_evaluate` for non-obvious choices
- Escalate to human only for decisions with significant cost/risk
## Tools
| Tool | Purpose |
|------|---------|
| `task_create` | Create granular task records |
| `team_assign` | Assign tasks to dev agents |
| `decision_evaluate` | Evaluate technical decisions |
| `quality_gate` | Run quality gate for review |
| `quality_complexity` | Check code complexity |
## Output schemas
### architecture_plan (orchestrator-validated)
Use `architecture_plan` schemaKey for system design. See `architecture-design` skill for full schema and example.
### review_result (orchestrator-validated)
Use `review_result` schemaKey for code reviews. See `code-review` skill for full schema and example.
### Task decomposition (informal, non-validated)
```json
{
"tasks": [
{
"id": "string",
"title": "string",
"assignee": "back-1 | front-1 | qa | devops",
"scope": "major | minor | patch",
"dependencies": ["taskId"],
"acceptanceCriteria": ["string"]
}
],
"parallelGroups": [["taskId"]]
}
```
## Quality standards
- Every task must have testable acceptance criteria
- No task should take more than 1800s (30 min) of agent time
- Prefer many small tasks over few large ones
## Before submitting
Run the agent-eval self-evaluation checklist for the relevant schemaKey
(`architecture_plan` or `review_result`). Fix any issues before calling
`workflow_step_run`.From Monkey-D-Luisi/vibe-flow, MIT.
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backend-dev
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Signals
- Stars
- 3
- Forks
- 2
- Open issues
- 0
- Last commit (this folder)
- Mar 20, 2026 (7 months ago)
- Last release
- Mar 22, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Monkey-D-Luisi/vibe-flow
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.443score
backend-dev
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Backend Developer — API design, database, server-side logic, TDD
SkillDFreshness: D★ 3Claude Code +9 - 0.443score
skill-factory
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Generate and validate new SKILL.md files consistent with the schema system
SkillDFreshness: D★ 3Claude Code +9 - 0.443score
ui-designer
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qa-testing
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architecture-design
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Produce system design artifacts including ADRs, contracts, patterns, and test plans
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build-error-resolver
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Auto-diagnose and fix TypeScript build, test, and lint failures
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Cite this page
tech-lead skill. Agent Mart. https://agentmart.dev/skills/monkey-d-luisi-tech-lead (last updated 2026-10-24)