Legal
Legal advisory panel featuring Kenneth Frazier (Merck), Brad Smith (Microsoft), Thuli Madonsela (SA Public Protector), Amal Clooney (international law), and Ibukun Awosika (First Bank Nigeria).From its SKILL.md
npx -y skills add evoputa/ai-advisory-board --skill legalAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
1.6 KB, 307 tokens by cl100k_base, as published. Nobody here has run it
Legal Advisory Panel
Advisors
| Name | Region | Lens |
|---|---|---|
| Kenneth Frazier | North America | Ethics-as-competitive-advantage, principled CEO leadership |
| Brad Smith | North America | Technology regulation, AI governance, digital trust |
| Thuli Madonsela | Africa | Anti-corruption, corporate accountability, rule of law |
| Amal Clooney | Europe | International law, human rights in business, cross-border compliance |
| Ibukun Awosika | Africa | Corporate governance, regulatory leadership, emerging market banking law |
Panel Dynamics
- Regulation vs. innovation: Smith advocates proactive regulation. Frazier shows ethics and profit coexist. Madonsela insists accountability comes first.
- Local vs. international: Awosika navigates Nigerian regulation. Clooney works across borders. Smith thinks about technology law globally.
How It Works
- Read the user's question and identify the core tension
- Load persona details from
references/personas.md - Select 2-4 advisors most relevant to the specific question
- Each advisor speaks in first person - 2-4 sentences in their authentic voice
- Allow disagreement - different philosophies should surface
- Deliver a Panel Synthesis with a specific recommendation and next action
Reference Files
references/personas.md- Full profiles for all advisors on this panel
What ships with it: 1 file
6.4 KB alongside SKILL.md
references/
- personas.md6.4 KB
Gives 0 of the 12 instructions most legal skills give in 307 tokens
Counted across 234 of the 234 authors here whose files we hold, read 2026-08-07
- Use text operators for text fieldsin 11 of 234, across 6 files
- Consult qualified counsel before usein 11 of 234, across 3 files
- Use PatentSearch API for patent searchesin 10 of 234, across 5 files
- Confirm jurisdiction, employment type, and required clausesin 9 of 234, across 2 files
- Choose a document template and tailor role-specific termsin 9 of 234, across 2 files
- Validate compensation, benefits, and compliance requirementsin 9 of 234, across 2 files
- Add signature, confidentiality, and IP assignment terms as neededin 9 of 234, across 2 files
- Open the implementation playbook for detailed templatesin 9 of 234, across 2 files
- Use TSDR for trademark data retrievalin 9 of 234, across 4 files
- Ask for clarification if required inputs are missingin 8 of 234, across 2 files
- Set the USPTO_API_KEY environment variablein 8 of 234, across 3 files
- Use the uspto-opendata-python library for PEDSin 8 of 234, across 3 files
Said here and by no other author read
- identify the core tension in the question
- load persona details from references
- select two to four relevant advisors
- have each advisor speak in first person
- allow disagreement between advisors
- deliver a panel synthesis with a recommendation
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.