skill
tml-capture-kit
Capture architecture from conversation. One pipeline, seven agent skills, a plain-language map anyone can read.
Set up
Skills are installed by placing their folder where your agent loads skills.
The download comes from github.com/CobraChickenAI/tml-capture-kit itself, not from our server, so what you get is exactly what its author published.
Install instructions come from the README
README
synced Oct 23, 2026TML Capture Kit
Capture architecture from conversation. One flow, seven skills built on the open Agent Skills standard, a plain-language map anyone can read.
What this does
You give it documents about how something works -- SOPs, wiki pages, meeting notes, whatever you have. It asks a few questions. You get back a complete architecture map with visible reasoning and actionable opportunities.
Total time for the human: about 20 minutes.
The pipeline
CONTEXT ──▶ INFORMED ──▶ SURFACE ──▶ THREE ──▶ "SO ──▶ QUALITY
DUMP INTERVIEW INFERENCES ARTIFACTS WHAT?" GATE
tml-extract tml-interview tml-infer tml-map tml-so-what tml-hygiene
10 min 10 min auto auto auto auto
| Stage | Skill | What it does |
|---|---|---|
| 1 | tml-extract | Pulls candidate primitives from unstructured documents |
| 2 | tml-interview | Confirms and refines candidates through conversation |
| 3 | tml-infer | Separates what was said from what was concluded |
| 4 | tml-map | Generates the Map, Changelog, and Agent Brief |
| 5 | tml-so-what | Surfaces opportunities, friction, and quick wins |
| 6 | tml-hygiene | Quality gate before sharing with stakeholders |
tml-capture is the orchestrator -- it runs the full pipeline as one seamless experience. Invoke it, not the sub-skills.
What you get back
| Artifact | What it is | Who it's for |
|---|---|---|
| The Map | Plain-language architecture -- what you do, who does it, what the rules are | Everyone |
| The Changelog | Where every element came from | Anyone asking "where did this come from?" |
| The Inferences | What the system concluded vs. what was stated | The person auditing the map |
| The Agent Brief | Operational instructions for AI agents | Any AI working within this scope |
| The So What? | Opportunities, friction points, quick wins | The person deciding what to do next |
| Hygiene Report | Quality check -- consistency, provenance, actionability | The person before they hit send |
Install
These skills follow the open Agent Skills specification and work with any compatible agent.
Each skill directory is self-contained — SKILL.md plus its own references/ with output schemas and templates.
Claude Code
git clone https://github.com/CobraChickenAI/tml-capture-kit.git
cp -r tml-capture-kit/skills/tml-* /path/to/your-project/.claude/skills/
Codex
npx skills add CobraChickenAI/tml-capture-kit
Cursor / VS Code
git clone https://github.com/CobraChickenAI/tml-capture-kit.git .cursor/skills/tml-capture-kit
Or download the repo as a zip and extract the skills/ directory into your project.
Data contracts
Every handoff between skills has a formal schema. Each skill carries the schemas for its own outputs in its references/ directory. The orchestrator (tml-capture) holds all schemas and the pipeline definition (pipeline.yaml) — the machine-readable DAG that governs execution order, data flow, and human gates.
Part of The Missing Layer
This kit is part of the TML ecosystem. TML provides the primitives (Scope, Domain, Capability, Archetype, Policy, Connector, Binding, View, Provenance) that give the capture pipeline its structure.
License
MIT. See LICENSE.