### Installing Agent Discussion Skill (Bash) Source: https://context7.com/cyrusxyl/agent-discussion/llms.txt Details the installation process for the Agent Discussion skill, offering both installation via a Claude Code plugin and manual file copying to a project directory. ```bash # Install via Claude plugin system /plugin install github:cyrus/agent-discussion ``` ```bash # Or manual installation - copy the skill file to your project mkdir -p .claude/skills/agent-discussion cp skills/agent-discussion/SKILL.md .claude/skills/agent-discussion/SKILL.md ``` -------------------------------- ### Start New Discussion with Claude Code Source: https://context7.com/cyrusxyl/agent-discussion/llms.txt Initiates a new multi-agent discussion by creating a shared file. The first agent writes an unbiased introduction and opens the floor for others. This example shows invoking the skill with inline parameters in a Claude Code terminal. ```bash # In Claude Code terminal, invoke the skill with inline parameters /agent-discussion agent:claude topic:"REST vs GraphQL for our new API" file:./discussion.md # Or invoke interactively - the skill will prompt for each parameter /agent-discussion # Claude: What name should I use? → "claude" # Claude: File path? → "./discussion.md" # Claude: Topic? → "REST vs GraphQL for our new API" # Claude: Created discussion.md. Writing my intro... ``` -------------------------------- ### Join Existing Discussion with Another Agent Source: https://context7.com/cyrusxyl/agent-discussion/llms.txt Allows a second AI agent to join an ongoing discussion. The joining agent reads the existing file, writes its own unbiased introduction, and then enters the turn-taking loop. This example demonstrates joining from a different terminal. ```bash # In a second terminal with a different AI agent (Antigravity, Copilot, etc.) /agent-discussion agent:antigravity file:./discussion.md # Output: Found existing discussion about "REST vs GraphQL". Joining... ``` -------------------------------- ### Monitoring Agent Discussion Progress (Bash) Source: https://context7.com/cyrusxyl/agent-discussion/llms.txt Provides bash commands to monitor the discussion file in real-time. The file is updated incrementally as agents contribute, allowing for live observation of the conversation's progress. ```bash # Watch the discussion file update in real-time watch -n 3 cat discussion.md ``` ```bash # Or follow the file like a log tail -f discussion.md ``` -------------------------------- ### Discussion File Format Source: https://context7.com/cyrusxyl/agent-discussion/llms.txt Illustrates the markdown format of the shared discussion file, including topic, status, timestamps, turn markers, and agent contributions (introductions and rounds). ```markdown # Discussion: REST vs GraphQL for our new API Started: 2026-03-02 10:00 [TURN: claude] **claude (Intro):** REST and GraphQL address different problems. REST leverages HTTP semantics — caching, status codes, standard tooling — and is broadly understood. GraphQL solves over/under-fetching and consolidates divergent client data needs into one endpoint. Both are production-proven. The decision hinges on consumer diversity and team experience. [TURN: NEXT] ``` -------------------------------- ### Reaching Agreement Format Source: https://context7.com/cyrusxyl/agent-discussion/llms.txt Demonstrates the format for concluding a discussion with an agreement. It includes the final contributions leading to the agreement and the specific agreement marker with a summary. ```markdown **claude (Round 4):** I agree with antigravity. The hybrid approach makes sense: REST for internal microservices where we control both ends, GraphQL for the public API where client diversity is guaranteed. [AGREED: Use REST for internal services; expose GraphQL for the public API to handle diverse client needs.] ``` -------------------------------- ### Handling Deadlock in Agent Discussion (Markdown) Source: https://context7.com/cyrusxyl/agent-discussion/llms.txt Demonstrates how the skill declares deadlock and lists unresolved points when agents cannot reach an agreement after a set number of rounds. This preserves context for future discussions. ```markdown **claude (Round 12):** Unable to reach agreement. Key unresolved points: - Whether to prioritize caching (REST) or flexibility (GraphQL) for the analytics endpoint - Timeline for potential migration if starting with REST [DEADLOCKED] ``` -------------------------------- ### Concurrent Write Guard Logic (Bash Pseudocode) Source: https://context7.com/cyrusxyl/agent-discussion/llms.txt Illustrates the pseudocode logic for the concurrent write guard mechanism. Agents re-read the last 10 lines of the discussion file to check the turn marker before appending content, preventing race conditions. ```bash # Internal check before writing (pseudocode) # 1. Prepare your response content # 2. Re-read last 10 lines of file tail -n 10 ./discussion.md | grep -o '\[TURN: [^]]*\]' | tail -1 # 3. If still shows [TURN: your-name], proceed with append # 4. If changed, skip this turn and return to polling loop ``` -------------------------------- ### Round Contribution Format Source: https://context7.com/cyrusxyl/agent-discussion/llms.txt Shows the format for agent contributions within a discussion round, including the agent's name, round number, their argument, and the marker for the next agent's turn. ```markdown **claude (Round 1):** Given antigravity's intro agrees the migration cost is low, starting with REST is the pragmatic call. Ship fast, validate consumer needs, add GraphQL when the pain is real — not speculative. [TURN: antigravity] **antigravity (Round 1):** Agreed that starting simple has merit, but "when the pain is real" is reactive. If we know clients will have diverse needs (mobile vs web vs third-party), GraphQL's introspection and type safety pay off from day one. Propose: REST for internal services, GraphQL for the public API. [TURN: claude] ``` -------------------------------- ### Turn-Taking Loop Logic Source: https://context7.com/cyrusxyl/agent-discussion/llms.txt Describes the internal polling mechanism and logic flow for the turn-taking loop within the Agent Discussion skill. It covers reading the file, detecting turns, handling states, and implementing deadlock detection. ```bash # Polling implementation (internal to the skill) # Read only last ~25 lines for efficient polling tail -n 25 ./discussion.md # The skill follows this loop logic: # 1. Read last ~25 lines of file (fast check) # 2. Find the last [TURN:…], [AGREED:…], or [DEADLOCKED] line # 3. [AGREED] or [DEADLOCKED] → print outcome, stop # 4. [TURN: you] → take your turn # 5. [TURN: other] or [TURN: NEXT] → wait ~10 seconds, repeat # 6. If round count > 12 → write [DEADLOCKED] and stop ``` === COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.