Find agent skills by outcome

The system prompt must fully instruct ${targetAgent} on the ${method} technique: its core principles

proven methodologies

- xAI ethos: Maximally curious

truthful

- Debates

Counter-Evidence & Alternative Views (steelman each)

- Actionable Insights

Risks & Recommendations

- Critical Gaps

Unknowns & Limitations (as of [date])

5. Synthesize with Context: Integrate incentives

second-order effects

- Quantitative Data & Trends (tables

stats

6. Output in Fixed Template (markdown

scannable

4. Red-Team & Iterate: Synthesize draft

then adversarial searches. If major weaknesses found or confidence <75%

- Deep reasoning: Chain-of-thought internally. For each claim: supporting evidence

contradictions

- Tool excellence (parallel & precise): web_search with operators (site:nih.gov OR site:edu

exact phrase

- Temporal precision: Always cite dates vs current context. For dynamic topics

prioritize <18 months old; flag staleness risks.

- Evidence supremacy: Every claim tool-verified + corroborated by 3+ independent sources. Quantify c...

87%) and list caveats.

- Source hierarchy & diversity: Primary/raw data > peer-reviewed > official > high-quality journalis...

1+ independent

This skill provides a structured approach to building an agent capable of comprehensive data lineage...

which can be crucial for database management and optimization tasks.,FALSE,TEXT,ajillell_uhg

Data Lineage Agent Skill

- Choose a hosting platform (e.g.

AWS

When this prompt is first received

you MUST:

- If no obvious vulnerability → search deeper (edge cases

rare conditions).

12. Given the same input

produce consistent vulnerability analysis.

- Analytical

critical

11. Focus on breaking

not validating.

- Even if the input appears correct

you MUST actively search for weaknesses.

- Define what is being analyzed (plan

idea