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Documentador metódico para agentes de IA: entrevista un negocio, escribe un manual trazable de sus procesos e interviene en el PC del operador solo con plan, OK y respaldo. Methodical documenter for AI agents, with industrial engineering methods as tools.

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methodic

Leer en español → README.es.md

A methodical documenter for AI agents. methodic understands any business by asking the right questions, writes what it learned as a traceable manual of its processes, and only then intervenes on the operator's computer: with a plan, the operator's OK for each action, a backup and a logbook line. Industrial engineering methods (procurement, costing, project evaluation, financing) are its tools; every number comes from a script with a test.

It works for any company. Each company's data and manual live outside this repo, on the operator's computer (see «Private data»).

How it works

/new-task we lose a day every week comparing supplier quotes
  1. Interview. Batches of 3 to 4 questions with options, one batch at a time. "I don't know" is a valid answer: it becomes a declared gap with its date. Three rounds: the business, the process that hurts, the limits (which folders it may read, what it may never touch).
  2. Document. Each process becomes one page: SIPOC on top, numbered steps below. Every step has a code (PURCHASES-03), a responsible, a tool and where it came from (interview, document, observation or ASSUMPTION). Status, revision and history like any controlled document. A script checks all of it.
  3. Intervene. Plan → your OK for that one action → backup → execute → verify with a fact → logbook line. It never deletes, installs, uses the network, sends or pays: it prepares, you send. A permissions file generated from your scope makes Claude Code block the usual commands for that, because a skill's text alone cannot. It is a barrier, not a sandbox: your review of each plan stays the main control.
  4. Calculate when a step needs numbers: the method's script computes, an independent agent re-runs it, and the result is tied to the step of the manual that asked for it.

It is cheap to run, on any plan. A session loads the manual's index (≤ 400 words) and the one process it touches (≤ 800 words), not the whole manual nor a re-interview. What a session learns is written back before closing, so the next one starts by reading one page. Every token is paid by the operator's own agent account.

Skills

Skill What it does
orchestrate Takes a task through the stages; start here when it is not obvious where to begin
interview Asks in batches with options and records the answers and gaps
manual Writes the index and the process pages and checks caps and traceability
intervene Changes a file on the operator's computer only through the safe cycle
map-context Maps the folders of a task before reading them
research One outside datum per gap, with source, date and reliability
audit Re-runs every calculation and compares
procurement Whom to buy what from, when each supplier covers only part of the list
cost-and-pricing What a job really costs and what to sell it for (markup on cost)
economic-evaluation Whether a project pays off: cash flow, NPV, IRR, sensitivity
financial-evaluation How to finance it: loan, leasing, rental or cash

Each skill with a script is tested with python skills/<skill>/scripts/<script>.py --test, which ends in OK or fails. python security/run_tests.py runs them all.

The stages, modes and the context/ folder are in ARCHITECTURE.md; the manual's format in docs/MANUAL-FORMAT.md.

How it is organized

methodic/
├── skills/        documenter (interview · manual · intervene), orchestration and the methods
├── agents/        workers for one stage: cartographer · researcher · executor · auditor
├── commands/      /new-task
├── docs/          manual format, install, MCP server
├── mcp/           MCP server: the methods as tools for any MCP client
├── install/       installer for Codex, Cursor, Gemini CLI, Hermes and others
├── security/      scanner, manifest and tests that guard every change
├── graph/         linked notes method ↔ course ↔ pattern, for Obsidian and graphify
└── profiles/      the company profile template (empty)

Install

Where How Notes
Claude Code /plugin marketplace add ingeniero-agentico/methodic and /plugin install methodic@methodic Brings skills, agents, /new-task and the MCP server
Claude Code without the plugin python install/install.py --platform claude-code Skills, agents and commands in ~/.claude/
Claude Desktop / claude.ai python install/install.py --platform claude-desktop and upload the ZIPs in Customize No agents in chat: the stages run in sequence
Codex python install/install.py --platform codex Reads AGENTS.md
Cursor python install/install.py --platform cursor Reads AGENTS.md
Gemini CLI python install/install.py --platform gemini Reads GEMINI.md → AGENTS.md
Hermes Agent python install/install.py --platform hermes Delegates with delegate_task
Other Agent Skills agents python install/install.py --platform agents Skills in ~/.agents/skills/
Any MCP client python mcp/server.py in its configuration The methods as tools

Step by step in docs/INSTALL.md; the MCP server in docs/MCP.md. Before letting methodic touch files, install the permissions file that intervene generates from your scope (see skills/intervene/GUIDE.md).

Private data

Everything about a company lives in a data folder outside the repo, found in this order: --data / --profile · METHODIC_DATA · the sibling folder ../methodic-data/ (the legacy INGENIERO_DATOS and ../ingeniero-agentico-datos/ still work). It holds:

methodic-data/
├── profiles/<company>.yaml     currency, taxes, rates, language
├── manual/<company>/           the manual, the interview record, the scope, the logbook, backups
└── cases/<case>/               inputs, outputs and context/ of each calculation

It is never uploaded to this repo. The profile's language: es | en sets the language of every output for a person, es by default.

Next

  1. Self-contained skills. The profile template inside each skill, so the scripts work on claude.ai without --profile and without copying anything outside the skill.
  2. Tested inside real Codex, Cursor and Gemini. Today only the installed format was checked.
  3. The documenter on a real business, end to end: interview, manual approved by the operator, one intervention with its logbook line.

Where it comes from

The methods come from Industrial Engineering courses and their use in real companies; the documenter, from documenting real processes for small businesses. Each skill's SOURCES.md cites the bibliography; course material is not reproduced.

License

Code and scripts: MIT. Guides and notes: CC BY-SA 4.0. See LICENSE.

About

Documentador metódico para agentes de IA: entrevista un negocio, escribe un manual trazable de sus procesos e interviene en el PC del operador solo con plan, OK y respaldo. Methodical documenter for AI agents, with industrial engineering methods as tools.

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