How should learn-anything-skill be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this skill.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

learn-anything-skill answer-first brief

Learn Anything --- name: learn-anything description: Learn any topic efficiently with AI-powered learning paths, resource curation, summarization, and quizzing. Use when the user wants to learn something new, study a topic, create a learning plan, find learning resources, or get help with spaced repetition and active recall. Triggers: "help me learn X", "I want to study X", "create a learning path for X", "teach me X", "how do I le Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

learn-anything-skill is best for general automation workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 89/100

learn-anything-skill

OpenClawself-declared

Public facts

Change events

Artifacts

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

Thinktankglobalbot

Artifacts

Benchmarks

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

View Source

Setup snapshot

git clone https://github.com/thinktankglobalbot/learn-anything-skill.git

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content

Vendor (1)

Vendor

Thinktankglobalbot

profilemedium

Observed Feb 25, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed Feb 25, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

Examples

Snippets

Languages

typescript

Parameters

Executable Examples

text

"Help me learn [topic]"
"Create a learning path for [topic]"
"Teach me [topic] step by step"

text

## Learning Path: Python for Beginners

### Milestone 1: Fundamentals (1-2 weeks)
Resources:
- Python.org tutorial (official)
- "Automate the Boring Stuff" - free online book

Key concepts:
- Variables, data types, operators
- Control flow (if/else, loops)
- Functions

Practice:
- Write a calculator program
- Create a simple number guessing game

Quiz:
1. What's the difference between a list and a tuple?
2. How do you define a function with default parameters?

### Milestone 2: Data Structures (1-2 weeks)
...

markdown

## [Topic] - Started [Date]

### Completed
- [x] Milestone 1: Fundamentals (Feb 20)
- [ ] Milestone 2: Data Structures

### Current Focus
Working on: Lists and dictionaries
Next review: Feb 23 (spaced repetition)

### Quiz Results
- Feb 20: 8/10 on fundamentals quiz

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Full README

name: learn-anything description: Learn any topic efficiently with AI-powered learning paths, resource curation, summarization, and quizzing. Use when the user wants to learn something new, study a topic, create a learning plan, find learning resources, or get help with spaced repetition and active recall. Triggers: "help me learn X", "I want to study X", "create a learning path for X", "teach me X", "how do I learn X".

Learn Anything

Learn any topic efficiently using proven learning science methods.

Quick Start

Basic usage:

"Help me learn [topic]"
"Create a learning path for [topic]"
"Teach me [topic] step by step"

Examples:

"Help me learn Python programming"
"I want to understand options trading"
"Create a learning path for Japanese"
"Teach me about machine learning"

Core Workflow

When the user wants to learn something:

Clarify goal — What specifically do they want to achieve? How deep?
Assess level — Beginner, intermediate, or advanced?
Generate learning path — Break topic into logical progression
Curate resources — Find best free resources (articles, videos, docs)
Summarize content — Distill key concepts
Quiz for retention — Generate questions for active recall
Track progress — Update learning journal

Learning Path Structure

Generate paths with:

Milestone — Clear checkpoint/goal
Resources — 2-3 best free resources for this step
Key concepts — What to understand
Practice — How to apply
Quiz — Self-check questions

Example output:

## Learning Path: Python for Beginners

### Milestone 1: Fundamentals (1-2 weeks)
Resources:
- Python.org tutorial (official)
- "Automate the Boring Stuff" - free online book

Key concepts:
- Variables, data types, operators
- Control flow (if/else, loops)
- Functions

Practice:
- Write a calculator program
- Create a simple number guessing game

Quiz:
1. What's the difference between a list and a tuple?
2. How do you define a function with default parameters?

### Milestone 2: Data Structures (1-2 weeks)
...

Learning Methods

Apply these proven techniques:

Spaced Repetition

Review material at increasing intervals: 1 day → 3 days → 1 week → 2 weeks
Suggest review schedule when user completes a milestone

Feynman Technique

Ask user to explain concept in simple terms
Identify gaps in their understanding
Refine explanation until clear

Active Recall

Generate quiz questions, not just summaries
Ask user to retrieve info, not re-read
Use flashcard-style prompts

Interleaving

Mix related topics rather than blocking
E.g., alternate between Python and JavaScript concepts

Pomodoro

Suggest 25-min focused sessions with 5-min breaks
Track session count for complex topics

Commands

| Command | Description | |---------|-------------| | learn <topic> | Generate full learning path | | summarize <topic> | Get key concepts summary | | quiz me on <topic> | Generate practice questions | | next step | Get next milestone in current path | | track progress | Update learning journal |

Learning Journal

Track progress in learning-journal.md:

## [Topic] - Started [Date]

### Completed
- [x] Milestone 1: Fundamentals (Feb 20)
- [ ] Milestone 2: Data Structures

### Current Focus
Working on: Lists and dictionaries
Next review: Feb 23 (spaced repetition)

### Quiz Results
- Feb 20: 8/10 on fundamentals quiz

References

For detailed learning science, see:

references/learning-methods.md — Deep dive on techniques
references/quiz-templates.md — Quiz generation patterns

Scripts

scripts/generate-quiz.py — Create quizzes from content
scripts/track-progress.py — Update learning journal

Tips

Start small — First milestone should be completable in 1-2 hours
Build momentum — Quick wins increase motivation
Focus on practice — Passive learning is weak; build things
Teach back — If you can't explain it, you don't understand it
Iterate — Adjust path based on what works

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.

Invocation examples

curl -s "https://xpersona.co/api/v1/agents/thinktankglobalbot-learn-anything-skill/snapshot"

curl -s "https://xpersona.co/api/v1/agents/thinktankglobalbot-learn-anything-skill/contract"

curl -s "https://xpersona.co/api/v1/agents/thinktankglobalbot-learn-anything-skill/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media

No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors

GITHUB_REPOSactivepieces

Rank

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW

GITHUB_REPOScherry-studio

Rank

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW

GITHUB_REPOSAionUi

Rank

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW

GITHUB_REPOSCopilotKit

Rank

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW

Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/thinktankglobalbot-learn-anything-skill/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/thinktankglobalbot-learn-anything-skill/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/thinktankglobalbot-learn-anything-skill/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/thinktankglobalbot-learn-anything-skill/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/thinktankglobalbot-learn-anything-skill/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/thinktankglobalbot-learn-anything-skill/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-16T23:36:14.362Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Thinktankglobalbot",
    "href": "https://github.com/thinktankglobalbot/learn-anything-skill",
    "sourceUrl": "https://github.com/thinktankglobalbot/learn-anything-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T01:46:26.961Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/thinktankglobalbot-learn-anything-skill/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/thinktankglobalbot-learn-anything-skill/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T01:46:26.961Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/thinktankglobalbot-learn-anything-skill/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/thinktankglobalbot-learn-anything-skill/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]