Condense multi-agent outputs into structured summaries with key points and evidence.
npx skills add https://github.com/seshxn/ai-swarm --skill summarization-seshxn
Please help me install this Agent Skill. Skill: summarization Source: https://github.com/seshxn/ai-swarm/tree/main/skills/summarization Command: npx skills add https://github.com/seshxn/ai-swarm --skill summarization-seshxn
Condense long multi-agent outputs into an accurate, traceable summary.
Summarize the latest multi-agent outputs into a concise, evidence-preserving summary.
High-intent search queries and answers about installing and using this skill.
You can condense multi-agent outputs without losing evidence by applying an evidence-preserving summarization process that removes duplication while retaining essential findings and decisions. This produces a structured artifact containing the summary, key points, and evidence.
Summarizing verbose agent logs for stakeholder handoffs is best achieved through audience-aware condensation that tailors the output for concise handoffs. This highlights disagreements and open questions to preserve context while reducing noise.
Extracting open questions and conflicts from multi-agent deliberations requires conflict-aware summarization that highlights disagreements and open questions. This preserves the context of agent decisions while reducing noise in the final report.
Generating structured JSON from multi-agent reports is possible by condensing the outputs into a structured JSON-like artifact. This artifact contains the summary, key points, evidence, and open questions specifically formatted for downstream tooling.
Evidence-preserving summarization works effectively for multi-agent deliberations and reports where decisions and evidence must be preserved. It reduces noise while retaining essential findings and highlighting conflicts.
jacob-balslevCondense prose into faithful summaries that preserve evidence and decisions.
zhnnky329Classify parsed subquestions into standard mathematical modeling problem types.
supertyrelleCondenses verbose input into prioritized summaries while preserving provenance and traceability.
trpc-groupSummarize text files and count lines, words, and bytes using Bash.
