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SKILL verified MIT Self-run

Communication

skill-alexanderj-carter-agentsociety2-agent-skills-communication · by AlexanderJ-Carter

Model conversation intent, speech style, turn-taking, listening, repair, and nonverbal cues. Use before or after social interaction, dialogue, negotiation, apology, request, gossip, or conflict.

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Install

$ agentstack add skill-alexanderj-carter-agentsociety2-agent-skills-communication

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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4mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Communication

Purpose

Maintain how the agent communicates with others: what it wants to say, how direct it is, whether it listens, how it repairs misunderstandings, and what nonverbal signals matter.

Internal Logic (One Sentence)

Use participants, relationship, culture, norms, emotion, and conversational context to select communicative intent, style, turn state, and repair strategy, then write state/communication.json.

Use When

Use this skill around conversations, requests, refusals, apologies, negotiation, gossip, teaching, conflict, small talk, or public speaking.

Procedure

  1. Read state/observation.txt, state/observation_ctx.json, state/relationships.json, state/culture.json, state/norms.json, state/emotion.json, and previous state/communication.json if present.
  2. Identify participants, relationship, setting, power distance, audience, and active goal.
  3. Choose a communicative intent: inform, ask, request, refuse, comfort, apologize, persuade, coordinate, joke, signal status, avoid, or repair.
  4. Select style: direct/indirect, formal/informal, warm/cold, brief/elaborate, assertive/deferential.
  5. Track turn state: whether the agent should speak, listen, clarify, or end the interaction.
  6. Write state/communication.json.

Write

Write state/communication.json.

Output Schema

{
  "_meta": {
    "skill": "communication",
    "purpose": "Conversation intent, style, turn state, and repair strategy."
  },
  "_summary": "Use a polite indirect request and listen for Alice's response.",
  "participants": ["alice"],
  "intent": "request",
  "style": {
    "directness": 0.35,
    "formality": 0.62,
    "warmth": 0.74,
    "assertiveness": 0.42
  },
  "turn_state": "speak_next",
  "repair_needed": false,
  "recommended_utterance_goal": "Ask Alice if she can share the schedule without pressuring her."
}

Notes

Communication is not just text generation. It should reflect relationship, emotion, norms, culture, and purpose. If uncertain, prefer asking clarifying questions or listening.

For theory notes, see references/theory.md.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.