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Self-Improving Robotics
by
José I. O.
· GitHub ↗
· v1.1.0
· MIT-0
105
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0
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0
Active Installs
2
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Install in OpenClaw
/install self-improving-robotics
Description
Captures robotics autonomy failures, operational incidents, and engineering learnings to enable continuous improvement across perception, localization, plann...
Usage Guidance
This skill appears coherent and focused on capturing robotics learnings, but review a few points before installing: 1) Hooks are opt-in and run with your agent's permissions — enable them only if you want reminders injected on bootstrap or PostToolUse. 2) Inspect scripts (activator.sh, error-detector.sh, extract-skill.sh) before enabling to confirm you accept their behavior; error-detector.sh reads the CLAUDE_TOOL_OUTPUT env var (which can contain sensitive output), though it does not transmit that data externally. 3) The manual install suggestion clones a GitHub repo — verify the repo origin/author if you prefer. 4) Ensure .learnings/ files will not inadvertently store secrets, telemetry with credentials, or infrastructure endpoints; follow the SKILL.md guidance to redact sensitive excerpts. 5) If you want lower noise, enable only the UserPromptSubmit activator and skip the PostToolUse detector. Overall, the skill is internally consistent with its stated purpose.
Capability Analysis
Type: OpenClaw Skill
Name: self-improving-robotics
Version: 1.1.0
The bundle is a structured framework for logging robotics-related engineering learnings, incidents, and feature requests into local markdown files. It includes utility scripts (activator.sh, error-detector.sh, extract-skill.sh) and OpenClaw hooks that monitor command output for robotics-specific error patterns (e.g., 'localization drift', 'CAN timeout') to prompt the agent to document them. The scripts are well-documented, use relative paths with basic traversal protections, and perform no unauthorized network activity or sensitive data access.
Capability Assessment
Purpose & Capability
The name/description (capture robotics incidents and promote learnings) matches the files and behavior: markdown templates, logging conventions, a scaffold script to create skills, and hooks/scripts to remind and detect robotics errors. Required env vars and binaries are none, which is proportional for this documentation-and-hook focused skill.
Instruction Scope
Runtime instructions and hooks create/ensure .learnings/ files, inject a reminder into agent bootstrap, and run a CLI helper and an output-pattern detector. These actions are within the stated scope. Notable: scripts/error-detector.sh reads the CLAUDE_TOOL_OUTPUT environment variable (platform-provided command output) to detect error terms — the script does not echo that output verbatim but will emit a reminder if patterns match. The SKILL.md does explicitly warn not to log secrets.
Install Mechanism
This is instruction-only with no install spec. The repository suggests optional manual git clone from a GitHub URL and enabling hooks; there are no automatic downloads, package installs, or archive extraction in the bundle. The included scripts and hook code are local and self-contained.
Credentials
The skill declares no required environment variables or credentials. The only environment interaction is that error-detector.sh reads CLAUDE_TOOL_OUTPUT (expected for a PostToolUse hook). That access is reasonable for detecting robotics error terms, but users should be aware CLAUDE_TOOL_OUTPUT may contain sensitive command output and the README already flags that as sensitive.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges. Hooks are opt-in: the user must copy/enable hooks under ~/.openclaw/hooks or add CLI hook entries in settings. The hook injects a virtual reminder file during bootstrap but does not modify other skills' configs or persist credentials.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install self-improving-robotics - After installation, invoke the skill by name or use
/self-improving-robotics - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.0
**Version 1.1.0**
- Added stackability contract for multi-skill installations.
- Added namespaced logging guidance (`.learnings/robotics/`) for coexistence with other skills.
- Added required `Skill: robotics` metadata field and cross-skill precedence/ownership rules.
- Clarified hook arbitration model (single dispatcher, dedupe, rate limiting).
v1.0.0
Initial release for the self-improving-robotics skill:
- Enables structured logging of robotics autonomy failures, incidents, and learnings to markdown files for continuous improvement.
- Captures issues across perception, localization, planning, control, simulation, safety, and hardware integration.
- Provides setup guides for both OpenClaw and generic workspaces, ensuring log directory and files are initialized safely.
- Includes templates and promotion strategies for escalating learnings into safety checklists, calibration playbooks, runbooks, and core project documentation.
- Advises explicit categorization and tagging of issues, learnings, and feature requests for traceable improvement.
Metadata
Frequently Asked Questions
What is Self-Improving Robotics?
Captures robotics autonomy failures, operational incidents, and engineering learnings to enable continuous improvement across perception, localization, plann... It is an AI Agent Skill for Claude Code / OpenClaw, with 105 downloads so far.
How do I install Self-Improving Robotics?
Run "/install self-improving-robotics" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Self-Improving Robotics free?
Yes, Self-Improving Robotics is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Self-Improving Robotics support?
Self-Improving Robotics is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Self-Improving Robotics?
It is built and maintained by José I. O. (@jose-compu); the current version is v1.1.0.
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