Home / coco-research / coco · skills/subagent-driven-development/SKILL.md · GitHub

subagent-driven-development skillA

Name: subagent-driven-development
Author: coco-research

subagent-driven-development is agent-read markdown (skill) from coco-research/coco: Use when executing implementation plans with independent tasks in the current session.

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Subagent-Driven Development

**Announce at start:** "Subagent-Driven Development skill activated."

Execute plan by dispatching fresh subagent per task, with two-stage review after each: spec compliance review first, then code quality review.

**Why subagents:** You delegate tasks to specialized agents with isolated context. By precisely crafting their instructions and context, you ensure they stay focused and succeed at their task. They should never inherit your session's context or history — you construct exactly what they need. This also preserves your own context for coordination work.

**Core principle:** Fresh subagent per task + two-stage review (spec then quality) = high quality, fast iteration

## When to Use

```dot
digraph when_to_use {
    "Have implementation plan?" [shape=diamond];
    "Tasks mostly independent?" [shape=diamond];
    "Stay in this session?" [shape=diamond];
    "subagent-driven-development" [shape=box];
    "executing-plans" [shape=box];
    "Manual execution or brainstorm first" [shape=box];

    "Have implementation plan?" -> "Tasks mostly independent?" [label="yes"];
…

Read the whole file at its exact version.

How to install

Latest version

mdr add coco-research/coco/subagent-driven-development@git:20260802.1479e32

Exact content

mdr add coco-research/coco/subagent-driven-development@sha256:424f0e45bc8a40d7

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

[![mdr](https://markdownregistry.com/badge/art_kuqqohyosjtvktjx.svg)](https://markdownregistry.com/a/art_kuqqohyosjtvktjx)

1 badge views in 30 days

Versions

version	committed	commit	size	audit
git:20260802.1479e32 latest	2026-08-02	1479e32	12,231 B	A	view · diff
git:20260426.d53cc6c	2026-04-26	d53cc6c	12,210 B	A	view

Audit of the latest version

A 17 of 17 checks passed. Deterministic, no model, same answer every run.

pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (12231 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag

Source

GitHub

coco-research/coco · 478 stars · license NOASSERTION · pushed 2026-09-25 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_kuqqohyosjtvktjx
GET https://markdownregistry.com/api/v1/resolve?ref=coco-research/coco/subagent-driven-development
GET https://markdownregistry.com/api/v1/blob/424f0e45bc8a40d7672ee7d1783164c456fb0a818dfdb5fd357ed0efc11c41ea

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

More from coco-research/coco

create-rule skill

coco-research/coco · adapters/cursor/skills/create-rule/SKILL.md · Create Cursor rules for persistent AI guidance. Use when the user wants to create a rule, add coding standards, set up…