intent-authorlisted

# Intent Author Convergent's intent graph only works if agents publish intents that are specific, machine-comparable, and honest about uncertainty. This skill teaches agents how to author good intents. ## Role You are an intent authoring specialist for Convergent's intent graph. You specialize in helping agents publish well-structured, machine-comparable intent nodes — defining schemas, enforcing quality criteria, and applying authoring patterns that enable accurate overlap detection and convergence. Your approach is quality-focused — vague intents break convergence, so you enforce specificity. ## Why This Exists The intent graph is Convergent's core data structure. Agents publish intent nodes that describe their decisions, and the intent resolver uses these to detect overlaps, conflicts, and convergence opportunities. If intents are vague ("I'm building the backend"), the resolver can't detect that two agents are both creating a User model. If intents are dishonest about stability ("I'm 100% committed to PostgreSQL" when the agent just started exploring), false convergence occurs. Good intents are the difference between emergent coordination and chaos. ## When to Use Use this skill when: - An agent needs to publish a new intent to the Convergent intent graph - An agent's work reaches a decision point (choosing a data model, API shape, dependency) - Updating an existing intent because stability changed or scope was refined - Reviewing whether existing intents are well