thinkinglabs
Interface for interacting with the Thinkinglabs public corpus.
Install
mkdir -p .claude/skills/thinkinglabs && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/15844" && unzip -o skill.zip -d .claude/skills/thinkinglabs && rm skill.zipInstalls to .claude/skills/thinkinglabs
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Use when reading, querying, or integrating with the public thinkinglabs corpus through Markdown, JSON, feeds, or MCP.Key capabilities
- →Discover public pages, JSON APIs, and MCP endpoints
- →Read clean page-shaped Markdown from canonical URLs
- →Query public collections via JSON APIs or MCP tool
- →Traverse public resources through the remote MCP endpoint
- →Submit structured answers to public questions with an MCP tool
How it works
This skill allows agents to interact with the public thinkinglabs corpus by discovering content, querying public objects, and inspecting source-backed pages. It uses `/llms.txt` as an index for public surfaces.
Inputs & outputs
When to use thinkinglabs
- →Query thinkinglabs data
- →Read public documentation
- →Integrate with public mcp
About this skill
Thinkinglabs
Thinkinglabs is a public markdown-canonical thinking surface. Use this skill when an agent needs to discover content, query public objects, inspect source-backed pages, or submit an answer to an open question.
What I Can Accomplish
- Discover public pages, detail routes, JSON APIs, feeds, and MCP endpoints from
/llms.txt. - Read clean page-shaped Markdown by appending
.mdto canonical public URLs. - Query public collections through
/api/<kind>.jsonor thequery_viewMCP tool. - Traverse public resources through the remote MCP endpoint at
https://mcp.thinkinglabs.run/mcp. - Precheck contact intent with
contact.precheckbefore preparing a human email handoff. - Submit structured answers to public questions with the
question.submitMCP tool.
Required Inputs
- A target task, topic, tag, object slug, or public view name.
- For MCP use, a client that supports Streamable HTTP MCP.
- For question submissions, the question slug and a substantive answer body.
Constraints
- The canonical source is
content/<kind>/*.md; generated artifacts are projections. - Public JSON APIs and Markdown variants are read-only.
- The MCP server is public-only; provenance and private local state are not exposed.
contact.sendprepares a handoff and does not send mail.- Token counts are approximate and use the
chars/4estimate exposed asagent_metadata.approx_token_count. - Prefer
/llms.txt,.mdvariants, JSON APIs, feeds, or MCP over crawling rendered HTML.
Key Documentation
/llms.txt: Agent-readable public surface index./agents: MCP resources, tools, JSON APIs, feeds, and connection examples./agent-permissions.json: Automated-access policy and preferred entrypoints.AGENTS.md: Repository operating instructions.docs/agents/mcp-http-server.md: Remote MCP transport contract.
When not to use it
- →The task requires modifying private local state
- →The task involves database schema evolution without API surface impact
- →The task is about adding a new route file or domain decomposition
Prerequisites
Limitations
- →Public JSON APIs and Markdown variants are read-only
- →The MCP server is public-only; provenance and private local state are not exposed
- →`contact.send` prepares a handoff and does not send mail
How it compares
This workflow provides structured access to public content through defined APIs and MCP tools, offering a programmatic alternative to manual web browsing for data discovery and interaction.
Compared to similar skills
thinkinglabs side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| thinkinglabs (this skill) | 0 | 2mo | No flags | Beginner |
| qmd | 26 | 2mo | Review | Intermediate |
| biorxiv-database | 7 | 9mo | Review | Beginner |
| read-arxiv-paper | 16 | 5mo | No flags | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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