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Install in OpenClaw
/install experience-distiller
Description
Distill finished work into the right OpenClaw knowledge layer. Use when a task, fix, setup, integration, cron/report workflow, repeated operation, or output-...
README (SKILL.md)
Experience Distiller
Route completed work into the correct knowledge layer instead of dumping everything into one file.
Quick workflow
- Read
references/decision-rules.md. - Identify the finished task/result.
- Separate:
- dated facts/evidence
- reusable action-level lessons
- workflow-level changes
- capability/package opportunities
- Recommend one of:
- daily-log
- experience
- playbook
- skill
- multi
- no-op
- If asked to execute, write the files directly.
Non-negotiables
- Do not store raw noise as long-term knowledge.
- Do not force everything into a skill.
- Prefer experience-bank for tactical reusable lessons.
- Prefer playbooks for canonical multi-step workflows.
- One task may write to multiple layers when justified.
OpenClaw default mapping
memory/YYYY-MM-DD.md= dated facts and evidencememory/experience-bank/entries/= trigger-action-failure reusable lessonsplaybooks/= canonical workflowsskills/= reusable capability packages
Output pattern
Use a short recommendation block:
- route
- confidence
- why
- exact files to write/update
- draft content bullets
Bundled references
references/decision-rules.md— routing logicreferences/template.md— lightweight invocation templatereferences/examples.md— ready-to-use examples for common task types
Usage Guidance
This skill is internally consistent and does not request external credentials or installs. However, it can create or update knowledge files (memory/, playbooks/, skills/) if you ask it to execute — make sure you are comfortable giving the agent write access to those directories. Recommended precautions: (1) run it in a test/sandbox environment first, (2) require human review before allowing it to execute writes automatically, and (3) avoid including secrets in the task/result text you send to the skill so they don't get persisted into knowledge files.
Capability Analysis
Type: OpenClaw Skill
Name: experience-distiller
Version: 0.1.1
The 'experience-distiller' skill is a knowledge management tool designed to help an AI agent categorize and store lessons learned from completed tasks into structured layers (logs, experience bank, playbooks, or new skills). The logic is entirely focused on organizational routing and documentation within the OpenClaw environment, with no evidence of data exfiltration, malicious execution, or unauthorized access in files like SKILL.md or references/decision-rules.md.
Capability Assessment
Purpose & Capability
Name/description and the bundled reference files all focus on deciding where to store post-task knowledge (daily logs, experience bank, playbooks, skills). There are no unrelated env vars, binaries, or install steps requested — the requested capabilities are proportionate to the stated purpose.
Instruction Scope
SKILL.md and references clearly define the decision logic and expected outputs. The only runtime-authorized side-effect is: 'If asked to execute, write the files directly.' That is coherent for a knowledge-routing skill, but it means the agent may create/update files under memory/, playbooks/, skills/ etc. The instructions do not instruct reading unrelated system files or exfiltrating data.
Install Mechanism
Instruction-only skill with no install spec and no code files. This is low-risk: nothing is downloaded or written at install time.
Credentials
No environment variables, credentials, or config paths are required. The skill does refer to repository paths (memory/, playbooks/, skills/) but does not request unrelated secrets or external service keys.
Persistence & Privilege
The skill is not marked 'always' and can be invoked by users or autonomously per platform defaults. It explicitly allows writing files when asked, which is consistent with its purpose but does grant persistence (modifying knowledge files). Confirm that the agent's file-write permissions are appropriately scoped before enabling automatic execution.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install experience-distiller - After installation, invoke the skill by name or use
/experience-distiller - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.1
Polish release: bundled invocation template + examples, stronger positioning, and improved post-task routing guidance.
v0.1.0
Initial release: post-task knowledge routing for OpenClaw with decision rules, template, and examples.
Metadata
Frequently Asked Questions
What is Experience Distiller?
Distill finished work into the right OpenClaw knowledge layer. Use when a task, fix, setup, integration, cron/report workflow, repeated operation, or output-... It is an AI Agent Skill for Claude Code / OpenClaw, with 164 downloads so far.
How do I install Experience Distiller?
Run "/install experience-distiller" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Experience Distiller free?
Yes, Experience Distiller is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Experience Distiller support?
Experience Distiller is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Experience Distiller?
It is built and maintained by jimmyhe (@traceme); the current version is v0.1.1.
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