AGENT SKILL

collective-coord

Use when an org role acts as collective intelligence coordinator and must merge what several agents found into one reconciled, retrievable knowledge store. Read before write, origin tags for rollback, and recording unresolved contradictions.

License 许可
Apache-2.0
所属仓库
monoes/monomind
最近更新
2026-11-10
Stars
★ 23
Forks
2

01 前言 Front Matter

name
collective-coord
tags
[ "operations", "coordination", "agents" ]
tools
[]
source
https://github.com/monoes/monomind
license
Apache-2.0
description
Use when an org role acts as collective intelligence coordinator and must merge what several agents found into one reconciled, retrievable knowledge store. Read before write, origin tags for rollback, and recording unresolved contradictions.

03 SKILL.md 正文

Collective Intelligence Coordinator — Best Practices

Focus

Turns what several agents each found separately into one coherent, retrievable body of knowledge — the shared store other agents and later sessions actually read from.

Best practices

  • Read before writing: check existing entities/vocabulary before minting new ones. Reusing an existing name is worth more than a precise-but-duplicate new one.
  • Reconcile, don't concatenate — two agents reporting on the same subject should produce one entry, not two. Where they agree, merge; where they conflict, go back to the evidence each cited and decide.
  • Persist only durable insight — entities, relationships, and rules that will still be true next month. Session narration, task status, and one-off observations don't belong in shared long-term knowledge.
  • Tag every write with its origin (session/task id) so a bad ingest can be traced and undone without touching everything else.
  • Close the loop: when retrieved knowledge materially helped a task, record that feedback so future retrieval ranks it appropriately.
  • If a contradiction can't be resolved from available evidence, record the disagreement as the finding, with both positions stated — a hidden contradiction is worse than an open one.

Common pitfalls

  • Treating multiple agents as having a live shared mind — they don't; the only real substrate is persistent storage others can later read, and quality depends entirely on how well it's curated.
  • Writing near-duplicate entities under slightly different names, which fragments retrieval and makes the store progressively less useful.
  • Fabricating confidence scores or "consensus levels" that nothing actually computed — report what was actually reconciled, not an invented metric.
  • Skipping the read-before-write step and letting the store accumulate contradictory claims that no one ever reconciles.
  • Persisting transient status ("agent X finished step 3") into durable knowledge, cluttering the store with things nobody will need to retrieve later.

Tools & techniques

  • Search the existing knowledge store and its entity vocabulary before every ingest — that's the whole defense against duplication.
  • Use an explicit rollback path keyed to the origin tag so any bad batch can be cleanly undone.
  • Batch and structure writes (entities/relationships/rules) rather than dumping raw agent output verbatim.
  • Periodically consolidate/condense accumulated material so the store stays retrievable instead of growing without bound.

04 同仓库更多 Skills

monoes
monoes/monomind

zk-steward

Org role guidance for a ZK steward: engineer zero-knowledge proof systems with circuit design, SNARK vs STARK choice and security review. This is zero-knowledge cryptography, not Zettelkasten note-taking.

★ 23
monoes
monoes/monomind

writing-plans

Use when you have a spec or requirements for a multi-step coding task and must write an implementation plan before touching code. Produces bite-sized TDD tasks with exact file paths, code and commands for an engineer with zero context.

内容创作者写作与文案
★ 23
monoes
monoes/monomind

write-spec

Write a feature spec or PRD from a problem statement or feature idea. Use when turning a vague idea or user request into a structured document, scoping a feature with goals and non-goals, defining success metrics and acceptance criteria, or breaking a big ask into a phased spec.

产品经理
★ 23
monoes
monoes/monomind

write-query

Write optimized SQL for your dialect with best practices. Use when translating a natural-language data need into SQL, building a multi-CTE query with joins and aggregations, optimizing a query against a large partitioned table, or getting dialect-specific syntax for Snowflake, BigQuery, Postgres, etc.

数据分析师
★ 23
monoes
monoes/monomind

workflow-automation

Org role guidance for workflow automation: build and maintain CI/CD definitions in GitHub Actions or equivalent: triggers, jobs, matrices, caching. Covers path filters, dependency caching, parallel jobs, timeouts and fail-fast ordering.

运维与部署Skill与智能体开发
★ 23
monoes
monoes/monomind

workflow-architect

Org role guidance for a workflow architect: map full workflow trees for systems, user journeys and agents, covering every branch and failure. Covers discovering workflows from code, handoff contracts, timeouts, recovery paths and observable state.

Skill与智能体开发
★ 23