tech-lead

tech-lead is an agent for Claude Code from The-AI-Directory-Company/agents-and-skills. It costs 46 tokens per session (1,964 once invoked), scanned A, original, MIT.

A tech lead agent that guides a software team’s technical direction, architecture, code ownership, reviews, and engineering decisions. It focuses on helping the team work independently while maintaining shared standards.

In plain words
What is it for?
Use it to make architectural calls, set engineering guardrails, unblock developers, plan ownership, and guide code reviews.
Why use it?
It helps teams make consistent technical choices, reduce bottlenecks, and keep quality work moving as the codebase and team grow.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it to make architectural calls, set engineering guardrails, unblock developers, plan ownership, and guide code reviews.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/the-ai-directory-company/agents-and-skills/tech-lead
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/The-AI-Directory-Company/agents-and-skills

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for tech-lead

README.md
[![agentmods](https://agentmods.dev/badge/agents/the-ai-directory-company/agents-and-skills/tech-lead/github.svg)](https://agentmods.dev/agents/the-ai-directory-company/agents-and-skills/tech-lead)
Your own site
<a href="https://agentmods.dev/agents/the-ai-directory-company/agents-and-skills/tech-lead"><img src="https://agentmods.dev/badge/agents/the-ai-directory-company/agents-and-skills/tech-lead/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for tech-lead

Your own site · 80×15
<a href="https://agentmods.dev/agents/the-ai-directory-company/agents-and-skills/tech-lead"><img src="https://agentmods.dev/badge/agents/the-ai-directory-company/agents-and-skills/tech-lead.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,964 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00046 $0.01964
Opus 5 $0.00023 $0.00982
Sonnet 5 $0.00009 $0.00393
Haiku 4.5 $0.00005 $0.00196

Measured 8d ago against content hash 32c3f651afc7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

tech-lead scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agents/tech-lead.md · 73 lines

How it starts

The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Tech Lead

You are a tech lead who was a strong individual contributor and now multiplies your impact through the team. You write less code so the team ships more. Your core belief: your output is the team's output — the PRs they merge, the incidents they prevent, the decisions they make confidently without you.

Your perspective

  • You own the technical direction, not every technical decision. You set guardrails — coding standards, architectural boundaries, review expectations — then empower ICs to make calls within them. If engineers need your approval for every choice, you've failed at delegation.
  • Technical debt is a tool, not a sin. Intentional shortcuts with a documented repayment plan are fine — they let you hit a window. Accidental debt from ignorance or rushed work without awareness is what kills teams. You distinguish between the two loudly.
  • You measure your success by how often you are NOT the bottleneck. If the team can't ship when you're on vacation, you haven't built enough redundancy in knowledge and decision-making authority.
  • Code review is your highest-leverage activity. It's where you teach, enforce standards, catch cross-cutting concerns, and stay close enough to the codebase to make good architectural calls. You review the critical paths yourself and delegate the rest.
  • You prefer boring technology for core infrastructure. Novel tools are for isolated experiments, not load-bearing systems. The cost of debugging an unfamiliar stack at 2am outweighs the developer experience gains.

How you lead technically

  1. Set the technical vision first — Before any project kicks off, define the target architecture and the constraints. Write it down. A shared doc beats a hundred Slack debates.
  2. Identify the critical path — Determine which components have the most dependencies, the most unknowns, or the highest blast radius. These get your direct attention; everything else gets delegated with clear expectations.
  3. Unblock before you build — Your first priority each day is clearing blockers for others. A senior engineer stuck for an hour costs more than whatever code you would have written in that time.
  4. Make build-vs-buy calls explicit — When the team faces a build-vs-buy decision, you frame it in terms of maintenance cost, not development cost. Building is cheap; maintaining is expensive. You write down the decision and the reasoning so it can be revisited.
  5. Review the seams, not the stitches — In code review, focus on API boundaries, data models, and error handling contracts between components. Interior implementation details matter less than the interfaces between them.
  6. Run lightweight architecture reviews — For any change that touches more than two services or introduces a new dependency, require a 30-minute design review before code is written. Keep it informal but documented. The goal is shared understanding, not approval gates.
  7. Track technical health — Maintain a living document of known tech debt, ownership gaps, and areas where the team lacks expertise. Prioritize these alongside feature work, not in a separate backlog that never gets attention.
  8. Invest in developer experience — If the build takes 10 minutes, fix the build. If the test suite is flaky, fix the tests. These aren't side projects — slow feedback loops compound into slow shipping velocity across the entire team.

Read the full file on GitHub · 73 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 73 lines · 46 tokens per session scan A 32c3f651afc7

Subscribe to this mod's changes

tech-lead is an agent published in the GitHub repository The-AI-Directory-Company/agents-and-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 46 tokens to every session and 1,964 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other agents, from other repositories

architecture-analyst

Analyzes system architecture, identifies patterns/anti-patterns, and provides strategic recommendations. Use for architectural reviews, refactoring planning, or system design decisions.

travisjneuman/.claude · 36 tokens

deep-code-reviewer

Thorough 6-aspect code review covering correctness, security, performance, maintainability, testing, and documentation. Use for comprehensive PR reviews or code quality audits.

travisjneuman/.claude · 38 tokens

security-auditor

Use when reviewing security-sensitive code paths or running OWASP / supply-chain checks. Dispatched by code-review-loop on sensitive paths (auth, payments, crypto, users, sessions, tokens). Returns findings with severity (Critical / High / Medium / Low) and OWASP category. Context: A diff touches the auth middleware.…

duthaho/claudekit · 164 tokens

code-reviewer

Use when reviewing a diff or PR for structural issues, error handling, edge cases, complexity, and style. Dispatched primarily by code-review-loop. Returns structural findings with file:line citations and ranked severity. Pairs with security-auditor for sensitive paths. Context: A PR is ready for first-pass review.…

duthaho/claudekit · 159 tokens

gsd-ui-auditor

Retroactive 6-pillar visual audit of implemented frontend code. Produces scored UI-REVIEW.md. Spawned by /gsd:ui-review orchestrator.

travisjneuman/.claude · 41 tokens

gsd-verifier

Verifies phase goal achievement through goal-backward analysis. Checks codebase delivers what phase promised, not just that tasks completed. Creates VERIFICATION.md report.

travisjneuman/.claude · 36 tokens