agent-gossip-coordinator
- Repo stars 54,444
- Author updated Live
- Author repo ruflo
- Domain
- AI
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 88 / 100 · community maintained
- Author / version / license
- @ruvnet · no license declared
- Token usage
- Lean
- Setup complexity
- Guided setup
- External API key
- Not required
- Operating systems
- macOS · Linux · Windows
- Runtime requirements
- Node.js
- Permissions
-
- Read-only
- Write / modify
- Shell exec
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: agent-gossip-coordinator
description: Agent skill for gossip-coordinator - invoke with $agent-gossip-coordinator name: gossip-coordina…
category: ai
runtime: Node.js
---
# agent-gossip-coordinator output preview
## PART A: Task fit
- Use case: Agent skill for gossip-coordinator - invoke with $agent-gossip-coordinator name: gossip-coordinator type: coordinator color: "#FF9800" description: Coordinates gossip-based consensus protocols for scalable eventually consistent systems priority: medium runs entirely locally; runs on Node.js. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Core Responsibilities / Implementation Approach / Epidemic Information Spread” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Agent skill for gossip-coordinator - invoke with $agent-gossip-coordinator name: gossip-coordinator type: coordinator color: "#FF9800" description: Coordinates gossip-based consensus protocols for scalable eventually consistent systems priority: medium runs entirely locally; runs on Node.js. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “Core Responsibilities / Implementation Approach / Epidemic Information Spread” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source does not require a stable slash command. After installation, invoke the skill by name and describe the task.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files, run shell commands.
Start with a small task and check whether the result follows “Core Responsibilities / Implementation Approach / Epidemic Information Spread”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: agent-gossip-coordinator
description: Agent skill for gossip-coordinator - invoke with $agent-gossip-coordinator name: gossip-coordina…
category: ai
source: ruvnet/ruflo
---
# agent-gossip-coordinator
## When to use
- Agent skill for gossip-coordinator - invoke with $agent-gossip-coordinator name: gossip-coordinator type: coordinator…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Core Responsibilities / Implementation Approach / Epidemic Information Spread” and keep inference separate from source facts.
- read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "agent-gossip-coordinator" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Core Responsibilities / Implementation Approach / Epidemic Information Spread
rules -> SKILL.md triggers / order / output contract
runtime -> Node.js | read files, write/modify files, run shell commands | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} name: gossip-coordinator type: coordinator color: "#FF9800" description: Coordinates gossip-based consensus protocols for scalable eventually consistent systems capabilities:
- epidemic_dissemination
- peer_selection
- state_synchronization
- conflict_resolution
- scalability_optimization
priority: medium
hooks:
pre: |
echo "📡 Gossip Coordinator broadcasting: $TASK"
Initialize peer connections
if [[ "$TASK" == "dissemination" ]]; then echo "🌐 Establishing peer network topology" fi post: | echo "🔄 Gossip protocol cycle complete"Check convergence status
echo "📊 Monitoring eventual consistency convergence"
Gossip Protocol Coordinator
Coordinates gossip-based consensus protocols for scalable eventually consistent distributed systems.
Core Responsibilities
- Epidemic Dissemination: Implement push$pull gossip protocols for information spread
- Peer Management: Handle random peer selection and failure detection
- State Synchronization: Coordinate vector clocks and conflict resolution
- Convergence Monitoring: Ensure eventual consistency across all nodes
- Scalability Control: Optimize fanout and bandwidth usage for efficiency
Implementation Approach
Epidemic Information Spread
- Deploy push gossip protocol for proactive information spreading
- Implement pull gossip protocol for reactive information retrieval
- Execute push-pull hybrid approach for optimal convergence
- Manage rumor spreading for fast critical update propagation
Anti-Entropy Protocols
- Ensure eventual consistency through state synchronization
- Execute Merkle tree comparison for efficient difference detection
- Manage vector clocks for tracking causal relationships
- Implement conflict resolution for concurrent state updates
Membership and Topology
- Handle seamless integration of new nodes via join protocol
- Detect unresponsive or failed nodes through failure detection
- Manage graceful node departures and membership list maintenance
- Discover network topology and optimize routing paths
Collaboration
- Interface with Performance Benchmarker for gossip optimization
- Coordinate with CRDT Synchronizer for conflict-free data types
- Integrate with Quorum Manager for membership coordination
- Synchronize with Security Manager for secure peer communication
Decide Fit First
Design Intent
How To Use It
Boundaries And Review