intent-framed-agentsFrames coding-agent work sessions with explicit intent capture and drift monitoring. Use when a session transitions from planning/Q&A to implementation for c...
Install via ClawdBot CLI:
clawdbot install pskoett/intent-framed-agentsGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/entireio/cliAudited Apr 17, 2026 · audit v1.0
Generated Oct 7, 2026
A product team asks an AI coding agent to implement a multi-step user authentication feature. Before coding begins, the agent emits an Intent Frame capturing outcome, approach, constraints, and success criteria, then pauses for confirmation. During implementation it fires Intent Checks when it starts touching adjacent modules like billing or notification services, keeping the change scoped to authentication.
An engineering lead tasks an agent with refactoring a legacy service to a modern framework. The intent frame defines which modules are in scope and which legacy behaviors must remain unchanged. When the agent drifts toward rewriting unrelated utility classes, an Intent Check flags the scope creep and returns it to the original refactor plan.
A support engineer asks an AI agent to patch a production bug in a payments flow. The intent frame states the exact failure, the minimal fix approach, and boundaries preventing speculative redesigns. If the agent starts proposing schema changes or new abstractions, intent drift monitoring catches it and re-asks whether that is a deliberate pivot.
A digital agency uses intent framing to keep AI-assisted client builds on brief. Each client work session opens an intent frame tied to the statement of work, and drift checks surface any change requests that were never approved. Resolution records give project managers a clear deliverable and pivot log.
A platform team rolls out an AI coding assistant across multiple squads and layers intent framing on top of execution sessions. Teams get structured Intent Frame, Check, and Resolution blocks in transcripts, which are later mined for recurring scope-drift patterns. The organization uses these patterns to refine its internal prompt and instruction standards.
The skill is published as part of a public skills repository and installed via a package manager like npx skills add. Adoption builds reputation and community contribution for the author or maintainer ecosystem. Revenue is indirect, driven by consulting, sponsorship, or hosted companion tooling.
A vendor bundles intent-framed-agents with a session transcript store and an analytics service that mines intent frames and drift events across teams. Engineering leaders get visibility into scope-creep patterns and planning gaps. The offering is sold per-seat or per-organization to engineering departments.
Consultancies package the skill into a broader agent-governance offering, onboarding client engineering teams onto structured intent workflows and drift monitoring. Engagements include setup, custom skill adaptation, and training on writing effective intent frames. Pricing follows project-based or retainer consulting models.
💬 Integration Tip
Pair this skill with context-surfing during execution so scope drift and context quality are monitored together, and always confirm the Intent Frame with the user before allowing code changes to begin.
Scored Apr 19, 2026
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