- name
- autocontext-consumer
- description
- Use when an agent needs to USE knowledge Autocontext already produced - find which scenarios have knowledge, read the playbook and lessons for one, understand the on-disk file and folder layout, and move knowledge between checkouts. Host-agnostic; requires only the autoctx CLI and the filesystem.
- version
- 1.0.0
- author
- Autocontext
- license
- Apache-2.0
# Autocontext: Using Existing Knowledge
## Overview
Autocontext writes what it learns to a knowledge directory. This skill covers
reading and moving that knowledge. To *produce* it, use `autocontext-creator`.
Nothing here assumes a particular agent host, and most of it is plain file
reading - the layout is documented below precisely so an agent can go straight
to the file it wants.
## When to Use
- You want to know whether Autocontext has learned anything about a task.
- You want the current playbook or lessons for a scenario.
- You want to move knowledge from one checkout or machine to another.
Do not use this skill to run scenarios or judge output. That is
`autocontext-creator`.
## Where Knowledge Lives
The root defaults to `./knowledge` and moves with `AUTOCONTEXT_KNOWLEDGE_ROOT`.
Inside it, each scenario owns a directory:
```
<knowledge_root>/
<scenario>/
playbook.md the current approach, rewritten as the loop learns
lessons.json accumulated lessons, newest last
hints.md hints carried into the next attempt
mutation_log.jsonl one line per change, append-only
package_metadata.json present once the scenario has been exported
reports/<run_id>.md per-run written reports
analytics/ cross-scenario analytics
_hub/ shared research hub state
_evaluator_epochs/ evaluator versioning
```
Directories starting with `_` are shared across scenarios rather than owned by
one. `playbook.md` is the file to read first: it is the current answer, where
`lessons.json` is the history of how it got there.
## Reading Knowledge
The playbook and lessons are plain files. Read them directly:
```bash
cat "${AUTOCONTEXT_KNOWLEDGE_ROOT:-knowledge}/grid_ctf/playbook.md"
```
An absent file means nothing has been learned for that scenario yet. That is a
normal state, not an error.
## Finding Runs
```bash
autoctx list --json
autoctx status "$RUN_ID" --json
autoctx show "$RUN_ID"
```
`list` is the entry point when you do not know what exists.
## Moving Knowledge Between Checkouts
Export a scenario's knowledge as a portable package:
```bash
autoctx export --scenario grid_ctf --output grid_ctf_package.json --json
```
Import one somewhere else. The package file is a positional argument, not a
flag, and it is required:
```bash
autoctx import-package grid_ctf_package.json --json
```
`--conflict` decides what happens when the target scenario already has
knowledge: `overwrite`, `merge`, or `skip`. `--scenario` imports under a
different name than the package was exported from.
Use these rather than copying the directory by hand: the package carries the
metadata that makes the knowledge legible on the far side.
## Reading a Generation in Detail
When a result is surprising, the generation JSON is the level that explains it:
```bash
autoctx replay "$RUN_ID" --generation 1
```
## What Not to Assume
- **Knowledge is scenario-scoped.** A playbook for one scenario says nothing
about another.
- **`lessons.json` is append-only.** The last entries are the newest; do not
assume the file is ordered by importance.
- **An empty playbook is meaningful.** It means the loop has not yet found an
approach worth keeping, which is different from the scenario not existing.
Ver en GitHub