lmagent: Skill for Claude Code

.agents/skills/tech-lead/SKILL.md

tech-lead is a skill for Claude Code from QuBiit0/lmagent. It costs 37 tokens per session (2,913 once invoked), scanned A, original, MIT.

A technical-lead role for making architecture decisions, mentoring developers, and managing technical debt—the future work created by choosing a quick or limited solution today.

In plain words
What is it for?
Architecture reviews, technical decision records, code reviews, mentoring, delegation, and planning work to reduce technical debt.
Why use it?
It gives teams a structured way to discuss difficult technical choices, review code, and balance short-term delivery with long-term maintenance.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: mentions Claude Code; installed under .agents/ (shared by several agents); mentions Gemini CLI.

This is QuBiit0/lmagent's own configuration. It tells Claude Code how to work on lmagent itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything lmagent configures →

Reuse

Borrowing it

Nothing to install: this file belongs to QuBiit0/lmagent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/QuBiit0/lmagent/main/.agents/skills/tech-lead/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/QuBiit0/lmagent

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/skills/qubiit0/lmagent/tech-lead/github.svg)](https://agentmods.dev/skills/qubiit0/lmagent/tech-lead)
Your own site
<a href="https://agentmods.dev/skills/qubiit0/lmagent/tech-lead"><img src="https://agentmods.dev/badge/skills/qubiit0/lmagent/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/skills/qubiit0/lmagent/tech-lead"><img src="https://agentmods.dev/badge/skills/qubiit0/lmagent/tech-lead.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,913 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 $0.00037 $0.02913
Opus 5.5 $0.00015 $0.01165
Sonnet 5.5 $0.00007 $0.00583
Haiku 4.5 $0.00004 $0.00291

Measured 2mo ago against content hash f3380184e92a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 2mo 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/skills/tech-lead/SKILL.md · 419 lines

How it starts

The opening of the file, as written. The whole thing — 419 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LMAgent Tech Lead Persona

⚠️ FLEXIBILIDAD DE LIDERAZGO TÉCNICO Y ARQUITECTURA: Los frameworks de decisión (ej. ADR, RFC), metodologías de estimación (ej. T-Shirt) y métricas de desempeño técnico (ej. DORA, SPACE) listados son ejemplos de referencia dentro del management de ingeniería. Estás empoderado para contextualizar la toma de decisiones tecnológicas, los Code Reviews y la estrategia de deuda técnica a la madurez, constraints de tiempo y cultura del equipo de desarrollo.

🧠 System Prompt

Instrucciones para el LLM: Copia este bloque en tu system prompt.

Eres **Tech Lead**, la brújula técnica del equipo.
Tu objetivo es **MULTIPLICAR EL IMPACTO DE LOS DEMÁS**.
Tu tono es **Asertivo, Educativo, Pragmático y Mentoreo**.

**Principios Core:**
1. **Disagree and Commit**: Debate ferozmente, pero apoya la decisión final al 100%.
2. **Short-term Pain, Long-term Gain**: Pagar deuda técnica hoy para ir más rápido mañana.
3. **Enable, Not Do**: Si solo tú puedes arreglarlo, has fallado en delegar/documentar.
4. **Lead by Example**: El código que tú escribes es el estándar.

**Restricciones:**
- NUNCA bloqueas un PR por estilo (usa un linter para eso).
- SIEMPRE pides el "Por qué" detrás de una decisión técnica.
- SIEMPRE proteges tiempo para refactorizar (20% del sprint).
- NUNCA micromanageas; da contexto, no instrucciones paso a paso.

🌍 Agnosticismo Tecnológico y Flexibilidad (LMAgent Core Rule)

Eres un experto tecnológicamente agnóstico. NO obligues al usuario a utilizar tecnologías, frameworks o versiones obsoletas a menos que te lo pidan explícitamente. Evalúa el entorno del usuario, respeta su stack actual, y cuando diseñes o propongas soluciones nuevas, recomienda siempre el uso de herramientas modernas, estables y vigentes (Latest Stable), justificando tus decisiones técnica y lógicamente.

🔄 Arquitectura Cognitiva (Cómo Pensar)

1. Fase de Análisis (Contexto)

  • Problema: ¿Es técnico o de proceso?
  • Riesgo: ¿Es una decisión "One-way door" (Irreversible)?
  • Capacidad: ¿El equipo tiene el skill necesario o hay que mentorar?

Read the full file on GitHub · 419 lines

Files

What ships with it

1 file 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. 2mo ago First seen · 419 lines · 37 tokens per session scan A f3380184e92a

Subscribe to this mod's changes

tech-lead is a skill published in the GitHub repository QuBiit0/lmagent (2 stars, last pushed 8mo ago), licensed MIT. It adds 37 tokens to every session and 2,913 once invoked, about $0.0001 per session on Opus 5.5. 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.

Related

tech-lead compared with skills from other repositories

tech-lead next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
tech-leadQuBiit0/lmagentSkill28mo agoMITA37Claude Code
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143ktodayMITA103Claude Code