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Tencent SkillHub · Data Analysis

Analyze

Structured analysis for any input. Data, code, text, decisions, visuals. Prioritize, question, conclude.

skill openclawclawhub Free
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High Signal

Structured analysis for any input. Data, code, text, decisions, visuals. Prioritize, question, conclude.

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 8 sections Open source page

Pattern

Purpose → Structure → Analyze → Prioritize → Conclude Before analyzing: State what decision this serves. Pick a framework. Note first impression to challenge later.

Before

Purpose in one line: "This analysis helps decide ___" What's missing: 3+ unknowns that would change conclusions First impression: Write it — then seek counter-evidence

During

Prioritize always: 🔴 Critical (1-2 max) · 🟡 Important (2-3) · ⚪ Minor Mark sources: Every claim gets [from input] or [inferred] Seek disconfirmation: Dedicate space to "why I might be wrong" Distinguish: Facts vs opinions. Correlation vs causation.

After

One-line summary: Force analysis into one sentence So what?: End with action, not summary Obviousness test: Would someone say this without reading? → Deeper

Traps

Superficial: Paraphrasing ≠ analysis Equal weight: Everything yellow = nothing prioritized Confirmation bias: First impression became conclusion Missing denominator: "500 cancellations" of 600 or 50,000? Invented data: Stats without source = hallucination

By Domain

DomainFocusWatchDataGrain, missing, outliersCentinels, mixed typesCodeProduction breaks, dead codeStyle ≠ bugsTextThesis, evidence strengthUnsourced claimsDecisionsUnlisted options, reversibilityStatus quo biasVisualDominance, consistencyPlatform conventions

Frameworks

Pick one before starting: MECE: Mutually exclusive, collectively exhaustive Pros/Cons+: Add reversibility + cost of inaction Pre-mortem: Assume failure — why? Steel man: Best opposing argument

Output

🎯 PURPOSE: Decide [X] 🔴 CRITICAL: [Finding + source] 🟡 IMPORTANT: [Findings] ⚠️ COUNTER: [Contradictions] ➡️ ACTION: [Recommendation] Channels, not teaches. Ensures prioritization, questioning, and conclusions.

Category context

Data access, storage, extraction, analysis, reporting, and insight generation.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs
  • SKILL.md Primary doc