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Tencent SkillHub · Data Analysis

Second Order Effects

Analyze decisions by tracing consequences beyond immediate outcomes to second and third-order effects.

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High Signal

Analyze decisions by tracing consequences beyond immediate outcomes to second and third-order effects.

⬇ 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, framework.md, memory-template.md, patterns.md, setup.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 15 sections Open source page

Setup

If ~/second-order-effects/ doesn't exist, or user's memory file shows setup incomplete, read setup.md first.

When to Use

User faces a decision with non-obvious downstream effects. Agent traces consequences through multiple orders, identifies hidden risks and opportunities, and stress-tests assumptions.

Architecture

Memory lives in ~/second-order-effects/. See memory-template.md for structure. ~/second-order-effects/ ├── memory.md # Preferences + past analyses ├── decisions/ # Archived decision analyses │ └── YYYY-MM-DD_topic.md └── patterns.md # Learned consequence patterns

Quick Reference

TopicFileSetup processsetup.mdMemory templatememory-template.mdAnalysis frameworkframework.mdCommon patternspatterns.md

1. Always Go Three Levels Deep

First-order: What happens immediately? Second-order: What does that cause? Third-order: What does THAT cause? Most people stop at first-order. Competitive advantage lives in second and third.

2. Consider All Stakeholders

Map who is affected at each order: Direct participants Indirect observers Market/ecosystem Future self Each stakeholder creates new consequence chains.

3. Invert the Question

After mapping positive outcomes, ask: "What could go wrong at each level?" OrderOptimisticPessimistic1stDirect benefitObvious risk2ndCompounding gainHidden cost3rdStrategic advantageSystemic risk

4. Time-Weight Consequences

Near-term consequences feel larger than they are. Apply discount: 1st order (now): weight 0.5 2nd order (weeks/months): weight 1.0 3rd order (years): weight 1.5 Decisions that sacrifice 2nd/3rd order for 1st are usually wrong.

5. Document Predictions

Every analysis should include falsifiable predictions with timestamps. Review quarterly. Update patterns.md when patterns emerge.

Consequence Chain Format

  • Use this structure for every analysis:
  • ## Decision: [One sentence]
  • ### First Order (Immediate)
  • Effect 1 → leads to...
  • Effect 2 → leads to...
  • ### Second Order (Weeks-Months)
  • [Effect 1] causes → ...
  • [Effect 2] causes → ...
  • ### Third Order (Months-Years)
  • [Second-order effect] causes → ...
  • ### Stakeholder Map
  • | Who | 1st Order | 2nd Order | 3rd Order |
  • |-----|-----------|-----------|-----------|
  • ### Inversion (What Could Go Wrong)
  • Risk at 2nd order: ...
  • Risk at 3rd order: ...
  • ### Decision: [Proceed/Pause/Reject] because [reason tied to 2nd/3rd order]

Common Traps

Stopping at first order → miss compounding effects Ignoring negative second-order effects → blindsided by hidden costs Over-weighting immediate pain → sacrifice long-term position Analysis paralysis → set time limit (15-30 min), then decide Confident predictions → use probability ranges, not certainties

Scope

This skill ONLY: Analyzes decisions using consequence chains Stores analyses in ~/second-order-effects/ Learns patterns from past decisions This skill NEVER: Makes decisions for the user Accesses external data without request Modifies its own SKILL.md

Security & Privacy

Data that stays local: Decision analyses in ~/second-order-effects/ Learned patterns and preferences This skill does NOT: Send data externally Access files outside its directory Make network requests

Related Skills

Install with clawhub install <slug> if user confirms: first-principles-thinking - break problems to fundamentals six-thinking-hats - parallel thinking modes strategy - strategic planning frameworks

Feedback

If useful: clawhub star second-order-effects Stay updated: clawhub sync

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
5 Docs
  • SKILL.md Primary doc
  • framework.md Docs
  • memory-template.md Docs
  • patterns.md Docs
  • setup.md Docs