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KingKongRoboticsKingKongRobotics/jumper/AGENTS.md

jumper

AGENTS.md3.1k starsChanged 32 days agoApache-2.0View on GitHub

The working rules for this repository live in CLAUDE.md — commands, the architecture worth knowing before editing, and the conventions that are not visible from any one file. They are not Claude-specific; read that file first whatever agent you are. Jumper is the shared entry point for Train and Design. Read docs/WORKFLOWS.md to select the route. Movement training uses the root repository. Appearance and environment creation use the independent jumper-design repository: read its current AGENTS.md and referenced workflow/protocol first. Read…

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More talk lately.thin dataabout the whole repository

Dec 2025: 0 mentionsJan 2026: 0 mentionsFeb 2026: 0 mentionsMar 2026: 0 mentionsApr 2026: 0 mentionsMay 2026: 0 mentionsJun 2026: 0 mentionsJul 2026: 0 mentionsAug 2026: 0 mentionsSep 2026: 0 mentionsOct 2026: 4 mentionsNov 2026: 0 mentions
Dec 2025Jun 2026Nov 2026
Mentions a month of the KingKongRobotics/jumper repository that our weekly crawl found: only 4 in all, so this is a hint, not a trend. There is no adoption data for this file yet.
  • Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.

    Of the AGENTS.md files we read, the 31,774 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.

  • In this repository7 other files it gives its agents.

The file

We split this AGENTS.md into the rules it gives an agent

2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Keep separate Train and Design virtual environments.

    line 18
  2. Distinctive:

    Use lightweight models for bounded reading/documentation, standard models for routine implementation and checks, and advanced models for …

    line 21

≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
AGENTS.md

AGENTS.md

The working rules for this repository live in CLAUDE.md — commands, the architecture worth knowing before editing, and the conventions that are not visible from any one file. They are not Claude-specific; read that file first whatever agent you are.

Start here

Jumper is the shared entry point for Train and Design. Read docs/WORKFLOWS.md to select the route. Movement training uses the root repository. Appearance and environment creation use the independent jumper-design repository: read its current AGENTS.md and referenced workflow/protocol first. Read remotely for guidance; when execution needs source or assets, reuse a suitable existing checkout or clone it separately, then fetch its required LFS assets. Record the Design commit used for generated outputs. Do not add it as a submodule or assume its code or binary assets are present in this checkout. Keep separate Train and Design virtual environments. Imported maps are replay-only in Train; there is no Train .skin loader. Do not silently reconcile robot mechanical differences.

Use lightweight models for bounded reading/documentation, standard models for routine implementation and checks, and advanced models for architecture or difficult debugging. Delegate independent tasks and preserve required validation regardless of model choice.

tasksource of truth
Installation, documentation navigation and project statusdocs/PROJECT_GUIDE.md
Any code or documentation changeCLAUDE.md — repository rules and architecture
Set up or repair an environmentdocs/AGENT_SETUP.md, then the setup-env skill
Add a taskdocs/USAGE.md, then the new-task skill
Train a policy and report itdocs/TUTORIAL.md, then the train skill
Change controlsdocs/CONTROLS.md, then the controls skill
Export or deploy a policydeploy/README.md, then the deploy skill
Read or write a bundle consumerdeploy/BUNDLE.md
Navigate the repository or run checksCONTRIBUTING.md

Skills

A skill is the playbook for one kind of task, kept at .claude/skills/<name>/SKILL.md. Claude Code finds them there by itself; nothing else about them is Claude-specific. Whatever agent you are, before starting a task one of them covers, read its SKILL.md in full and follow it — each exists because the failures on its path are silent, and its steps are the checks that make them loud. The description: at the top of each file decides whether it applies; the table only points at it.

skillreach for it when
setup-envgetting the Python environment and the controller's Rust toolchain running on a new machine, or repairing one that imports the wrong checkout, ignores the GPU or cannot build the controller
new-taskcreating a training task — its directory, registration, configs and operator controls
traintraining a policy and reporting it — sizing the run for the machine's backend, reading whether it learns, replaying it with the measurement on, and handing over a checkpoint with measured numbers rather than an assumed success
controlsgiving a stick, a button or a key a meaning — a task's controls.yaml, a mode switch in deploy/manifests.json, a recorded motion's go
deploytaking a policy from a checkpoint to the robot — export, RKNN, the bundle, the cross-build, the board
bundle-manualtranslating a built bundle's manual.en.json into Chinese and packing it into the .app — after every scripts/deploy.py build

A new skill gets a row here; tests/test_layout.py fails until it has one.

Their scripts need no agent framework, only Python and this repository:

  • For bringing an environment up on a new machine, docs/AGENT_SETUP.md is the procedure and .claude/skills/setup-env/scripts/ holds two standard-library scripts that automate the mechanical parts.
  • For putting a trained policy on the robot, deploy/README.md is the map and .claude/skills/deploy/scripts/check_board.py is a read-only preflight of the board.
  • For binding a stick or a button to a meaning, docs/CONTROLS.md is the design and .claude/skills/controls/scripts/write_controls.py writes the file from controller/vocabulary.json and refuses a name that is not in it, because an invented control name parses, binds nothing and looks exactly like one that does not work. It arranges sys.path itself.

The bundle

deploy/BUNDLE.md is the format of what scripts/deploy.py writes — one directory and its .app, from which every host takes its own part, file by file — and what a host that loads one has to do. It is the document to work from when writing or changing a consumer, in this repository or outside it.

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Your trail

Files you open will collect here, so you can find them again.

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Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.