Coordinate parallel expert lenses and synthesize findings into a guidance report.
npx skills add https://github.com/nawwwal/dex --skill council-nawwwal
Please help me install this Agent Skill. Skill: council Source: https://github.com/nawwwal/dex/tree/main/plugins/tools/skills/council Command: npx skills add https://github.com/nawwwal/dex --skill council-nawwwal
It enables teams to surface diverse expert perspectives on a topic by spawning a multi-lens council that synthesizes findings and surfaces blind spots that a single view may miss.
Provide a topic and constraints, and the skill will spin up a multi-lens council and return a synthesized guidance report.
High-intent search queries and answers about installing and using this skill.
Multi-agent research synthesis spawns parallel expert lenses to analyze a topic, surfacing contradictions and blind spots that a single perspective misses. It delivers a concise synthesis highlighting knowns, inferences, disagreements, and recommended next steps.
A multi-lens council coordinates subagents with distinct analytical perspectives to investigate architecture. Provide a topic and constraints to spawn parallel experts that gather evidence with source citations and return a coherent, actionable guidance report.
Parallel expert agents support complex audits, risk assessments, design critiques, and strategic decisions. They apply structured modes to gather evidence, ground conclusions with source citations, and deliver synthesized findings with clear confidence levels and next actions.
Actionable research synthesis applies structured evidence gathering with source citations across parallel expert lenses. It grounds conclusions by surfacing knowns, inferences, and disagreements, delivering concise next steps to support immediate decision-making.
A single-agent approach risks missing blind spots and contradictions that a multi-agent council surfaces. The council spawns distinct lenses to synthesize diverse perspectives, providing confidence levels and structured disagreements that a single view cannot achieve.
Multi-agent synthesis operates without external dependencies, utilizing internal references to coordinate subagents. It requires only a topic and constraints to spin up the parallel expert council and return a synthesized guidance report.
openyakCoordinate multi-source research and synthesize findings into structured outputs.
dralkhRun structured multi-perspective deliberation and produce a synthesized recommendation.
BoomberAspRecord evidence entries after tool calls to support factual claims.
genomewalkerSimulate multiple cognitive voices to analyze complex problems and synthesize insights.
