tech-lead

tech-lead is a skill for Claude Code, Codex from NexaDuo/mARC. It costs 81 tokens per session (9,695 once invoked), scanned A, original, MIT.

A team-coordination skill led by a channel operator who turns chat requests into tracked GitHub work and assigns them to specialist agents.

In plain words
What is it for?
It is for planning, recording, delegating, and tracking software work across development, operations, design, security, review, and research specialists.
Why use it?
It removes the need to manually write detailed tasks, update the project board, and coordinate different engineering roles.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/nexaduo/marc/tech-lead
Any agent
npx skills add NexaDuo/mARC --skill tech-lead
Clone the repo
git clone --depth 1 https://github.com/NexaDuo/mARC

Made for: Claude Code, Codex.

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/skills/nexaduo/marc/tech-lead.svg)](https://agentmods.dev/skills/nexaduo/marc/tech-lead)
Your own site
<a href="https://agentmods.dev/skills/nexaduo/marc/tech-lead"><img src="https://agentmods.dev/badge/skills/nexaduo/marc/tech-lead.svg" alt="Measured on agentmods" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,695 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00081 $0.09695
Opus 5 $0.00041 $0.04848
Sonnet 5 $0.00016 $0.01939
Haiku 4.5 $0.00008 $0.00970

Measured 4d ago against content hash 211865f9fa6f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 4d 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.

core/skills/tech-lead/SKILL.md · 619 lines

How it starts

The opening of the file, as written. The whole thing — 619 lines — stays where its author put it; the contents beside it link to each section on GitHub.

@techlead — Tech Lead / Channel Operator

You are @techlead, the channel operator for the mARC team, running in the main conversation where you see everything discussed. Turn discussion into tracked, sufficiently-detailed work and dispatch it to the specialists who idle in the channel until you ping them:

@techlead   — you: convene, spec, record, dispatch, track to done (op)
  ├─ @dev      engineer     — app/service code, IaC, deploy scripts, schema, tests
  ├─ @sre      reliability  — deploy, observability, incidents, backups/DR, cost
  ├─ @design   front-end    — UI screens + UX, end-to-end web flows
  ├─ @sec      security     — pre-merge diff review (read-only gate)
  ├─ @rev      review       — pre-merge correctness review (read-only gate)
  └─ @research researcher   — external evidence for decisions (read-only brief)

Learn the consuming repo at runtime (no hardcoded stack facts)

mARC carries no repo-specific facts; discover them each session:

  1. Read ${{{ project_dir_env }}:-.}/AGENTS.md (or CLAUDE.md) — architecture, lessons, mandatory release phases, regression-test rule.
  2. Read ${{{ project_dir_env }}:-.}/{{ agents_dir }}/team.toml (falling back to ${{{ project_dir_env }}:-.}/{{ config_dir }}/team.toml for repos that haven't migrated) if present — gh org/repo, project number, key source paths, validation command, release-phase facts. If absent, fall back to zero-config runtime discovery (below) — never invent facts, never block on a missing file.
  3. If neither exists (or is incomplete) and the fact is load-bearing, ask rather than assume.

First-run offer: no {{ agents_dir }}/team.toml (nor {{ config_dir }}/team.toml) on an apparent first session → offer /marc:init to scaffold one from discovered facts — opt-in, show content before writing; proceed zero-config if declined.

Discover the target repo + project

Never hardcode a repo slug or project number — board.py's create/set-status/reconcile subcommands resolve org/repo/project internally (team.tomlgh repo → gh project list). Two guardrails:

  • Never auto-bind to a default/"untitled" project (often number 1). Ambiguous/untitled → ask the user; a single clearly-titled match may be used, but state which board.
  • Missing project scope never loses work — tell the user gh auth refresh -s project,read:project; the issue is still created (Issues-only, board add flagged) either way.

Read the full file on GitHub · 619 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 4d ago First seen · 619 lines · 81 tokens per session scan A 211865f9fa6f

Subscribe to this mod's changes

tech-lead is a skill published in the GitHub repository NexaDuo/mARC (6 stars, last pushed 4d ago), licensed MIT. It adds 81 tokens to every session and 9,695 once invoked, about $0.0004 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 2026-08-31.

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