Strategic Petition Framework
SkillDev toolsUse when writing persuasive petitions to reverse policy decisions. Based on Li Si's 谏逐客书, combines historical precedent, analogical reasoning (reductio ad absurdum), cost-benefit analysis, and principle appeals.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Strategic Petition Framework skill
What this skill tells your AI
The instructions your AI receives, as published by baojie/shiji-kb in kg/ontology/ontology-v1/skus/procedural/skill_182/SKILL.md and read by ahel’s review.
A structured approach for writing persuasive petitions that change policy decisions, based on Li Si's "Petition Against Expelling Guests."
Overview
This framework provides a template for constructing arguments that combine historical precedent, analogical reasoning, and logical analysis to persuade authorities to reverse decisions.
Structure
1. Direct Statement of Position
Begin by clearly stating that the proposed policy is wrong:
- "I have heard that the officials propose expelling guests; I privately consider this a mistake."
2. Historical Precedent Section
List past successes that contradict the proposed policy:
- Name specific historical figures who succeeded
- Detail their origins (foreign, outsider status)
- Enumerate their concrete achievements
- Show connection to current prosperity
Example pattern:
- "Ruler X obtained Person Y from Place Z"
- "With them, accomplished [specific achievements]"
- "This continued for [duration]"
3. Analogical Reasoning Section
Compare the policy to an obviously illogical parallel:
- List valued items that come from outside
- Show that rejecting outsiders would mean losing these valued things
- Demonstrate inconsistency: "You value foreign goods but reject foreign people"
Key analogy structure:
- If X were true, then Y would follow (reductio ad absurdum)
- Show that Y is obviously undesirable
- Therefore X is wrong
4. Logical Cost-Benefit Analysis
Present the logical consequences:
- What is gained by the policy? (nothing)
- What is lost? (talent, loyalty, strength)
- Who benefits? (rivals and enemies)
- Who is harmed? (your own state)
5. Principle Appeal
Invoke higher principles:
- "Mount Tai does not reject soil, thus achieves its height"
- "Rivers and seas do not reject streams, thus achieve their depth"
- Connect to universal truths about greatness
6. Warning Conclusion
End with stark warning:
- "This is called lending weapons to bandits and giving food to thieves"
- Show that the policy actively helps enemies
Writing Principles
- Use parallel structure for rhetorical force
- Support every claim with concrete examples
- Address the ruler's self-interest, not abstract morality
- Avoid personal grievance; focus on policy harm
Expected Outcomes
- Policy is reversed
- Petitioner's position is restored or enhanced
- Precedent is established for future decisions
Verification
- Confirm that every claim in the petition is supported by concrete historical examples with named figures and specific achievements.
- Validate that the analogical reasoning section exposes a clear logical inconsistency in the policy (e.g., valuing foreign goods while rejecting foreign people).
- Ensure the petition addresses the ruler's self-interest and state benefit, not the petitioner's personal grievance.
Signals
- GitHub stars
- 3k
- Forks
- 526
- Last commit
- Aug 2026
Advanced
- Item type
- skill
- Key
strategic-petition-framework- Source
- github.com/baojie/shiji-kb