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Thinking Spark
by
tianyn1990
· GitHub ↗
· v1.0.0
· MIT-0
268
Downloads
0
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2
Active Installs
1
Versions
Install in OpenClaw
/install thinking-spark
Description
记录思考火花与沉淀的系统。用于用户想要记录临时思考、想法、灵感火花，或者将思考整理沉淀为有条理的内容时触发。
Usage Guidance
This skill appears coherent and local-only. Before installing: (1) confirm you are comfortable with it creating/writing the file ~/.openclaw/workspace/collection/思考火花.json and ensure the workspace directory has the desired permissions; (2) review the three Python scripts (they are short and operate only on that file); (3) note the SKILL.md mentions integration with long-term memory (MEMORY.md) but the shipped code does not perform automatic writes—if you expect automatic memory syncing, treat that as missing functionality; (4) run the scripts in a safe environment or inspect them manually if you want to verify behavior — there are no network calls or credential exfiltration in the code.
Capability Analysis
Type: OpenClaw Skill
Name: thinking-spark
Version: 1.0.0
The 'thinking-spark' skill is a legitimate tool for recording and organizing ideas. It manages data locally in a JSON file (~/.openclaw/workspace/collection/思考火花.json) using standard Python libraries (os, json, sys). The scripts (create_spark.py, list_sparks.py, update_spark.py) implement basic CRUD operations with safe practices like atomic file replacement and contain no evidence of network activity, data exfiltration, or malicious command execution.
Capability Assessment
Purpose & Capability
The name/description describe a local thinking-spark recording system; the included scripts create/list/update entries in a local JSON file under ~/.openclaw/workspace/collection/思考火花.json. The requested artifacts (no env vars, no binaries, no external services) match the stated purpose.
Instruction Scope
SKILL.md instructs use of local commands and the three provided scripts. It also mentions integration points (e.g., MEMORY.md, '待阅文章' refs) as conceptual integrations but there is no code that writes to any external memory file or service — that is a minor mismatch between documentation and implementation. The SKILL.md shows an example using jq + mktemp for atomic writes; the Python scripts implement atomic writes via a temp file + os.replace. The instructions do not ask the agent to read unrelated system files, environment secrets, or send data to external endpoints.
Install Mechanism
No install spec is provided (instruction-only with shipped scripts). There are no downloads, external package installs, or archive extraction steps. The scripts are plain Python and will run if Python is available.
Credentials
No environment variables, credentials, or external config paths are requested. The scripts use os.path.expanduser to read/write a file under the user's home (~/.openclaw/workspace/...), which is appropriate for a local journaling tool.
Persistence & Privilege
always is false and the skill does not request elevated privileges or modify other skills or system-wide agent settings. Its persistence is limited to writing its own JSON file in the user's workspace.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install thinking-spark - After installation, invoke the skill by name or use
/thinking-spark - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Thinking Spark 1.0.0 released!
- Introduces a system for recording and refining spontaneous thoughts and structured insights.
- Provides a flexible JSON data structure for storing sparks, refinement state, tags, priorities, and history.
- Offers clear commands for recording, refining, organizing, and linking thoughts within and across projects.
- Supports integration with reading lists, open source projects, and long-term memory modules.
- Includes scripts for deterministic updating and manipulation of spark data.
Metadata
Frequently Asked Questions
What is Thinking Spark?
记录思考火花与沉淀的系统。用于用户想要记录临时思考、想法、灵感火花，或者将思考整理沉淀为有条理的内容时触发。 It is an AI Agent Skill for Claude Code / OpenClaw, with 268 downloads so far.
How do I install Thinking Spark?
Run "/install thinking-spark" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Thinking Spark free?
Yes, Thinking Spark is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Thinking Spark support?
Thinking Spark is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Thinking Spark?
It is built and maintained by tianyn1990 (@tianyn1990); the current version is v1.0.0.
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