By BuilderIO
Claude Code skills for multi-agent workflows: visual planning, autonomous execution with minimal interruptions, documentation-first implementation, cross-agent review and merging, usage budget management, and interactive PR/commit recaps
Use when asked to watch, babysit, audit, review, compare, or fix another agent's work from a Codex session ID, Claude Code session/transcript, chat/thread link, PR, branch, log, or pasted run summary. Monitor until the other agent is done or blocked, reconstruct what the user asked, inspect what the agent actually changed and verified, report gaps, and optionally make scoped fixes when the user authorizes repair.
Use when running Claude Fable on codebase-heavy or token-heavy work and the user wants Fable to orchestrate research, coding, and testing while cheaper subagents do bounded heavy lifting.
Apply the same orchestration as `/efficient-fable` to any high-cost frontier model: delegate research, coding, and testing to cheaper subagents while keeping planning, synthesis, and final review with the expensive model.
Use when asked to compare, cross-review, merge, judge, choose, or arbitrate competing plans from multiple agents such as Codex and Claude Code; when given two or more proposed plans, session IDs, transcripts, plan documents, PR descriptions, or pasted strategies; or when the user wants one recommended execution plan after agents review each other's proposals.
Use when the user explicitly wants autonomous progress without routine clarification stops: "plow ahead", "do not stop", "use your best judgment", "keep going until done", "finish while I am away", "do not ask questions unless truly blocked", or similar. Convert ordinary ambiguity into stated assumptions, proceed through implementation and validation, stop only for true blockers, and end with a clear recap of decisions, changes, verification, and residual risk.
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Small, composable skills for coding agents.
These skills are for teams that want the agent to stay sharp where judgment matters: orchestration, review, planning, validation, docs discipline, and clear communication. They are not a giant process framework. Install the pieces you want, adapt them to your project, and let the model keep room to think.
npx @agent-native/skills@latest add
The interactive picker puts /visual-plan and /visual-recap first and selects
only those by default. See the full CLI docs below.
/visual-planTurn ordinary text plans into rich interactive visual plans with diagrams, file maps, annotated code, open questions, and UI/prototype review when useful.
Solves for plans that are too important to bury in chat. The output is scannable, commentable, and intuitive enough for a human to approve before code changes start.
Visual plans are MDX, customizable with your own components, and are viewed with the Agent-Native plans app. Source here
/visual-recapTurn a branch, commit, or PR diff into an interactive visual recap with annotated diffs, diagrams, API/schema summaries, file maps, UI state summaries, and focused review notes.
Solves for diffs that hide the shape of the change. Reviewers can understand contracts, architecture moves, schema changes, and UI impact before diving into raw line-by-line review.
Visual recaps are MDX, customizable with your own components, and are viewed with the Agent-Native plans app. Source here
You can also install a GitHub action for these to be automatically generated for every PR with
npx @agent-native/skills@latest add
/agent-watchdogAudit another agent's work from a Codex session, Claude Code transcript, PR, branch, or run summary.
Solves for cross-agent handoffs: watch until done, reconstruct what was asked, check what actually changed and verified, report gaps, and optionally make narrow fixes.
/plan-arbiterCompare competing agent plans and choose one executable direction.
Solves for multi-agent planning loops where Codex, Claude Code, or other agents produce separate strategies. The output is a decision memo with the winning or hybrid plan, rejected alternatives, verification gates, and executor recommendation.
/plow-aheadKeep working through ordinary ambiguity and finish with a clear decision recap.
Solves for explicit autonomy requests: the agent converts routine questions into assumptions, proceeds with conservative choices, validates the work, and recaps the decisions it made without stopping.
/efficient-fableUse Claude Fable as the orchestrator, architect, synthesizer, and final judge while lighter agents handle token-heavy research, coding, testing, and log reduction.
Solves for expensive-model waste: Fable should spend tokens on judgment, not on reading every file, reducing every log, or manually running every browser check.
/efficient-frontierApply the same orchestration as /efficient-fable to any high-cost frontier
model: preserve the expensive model for planning, tradeoffs, integration,
validation strategy, and final review; use cheaper agents for bounded heavy
lifting.
Solves for broad work that can be parallelized without asking the most expensive model to do every scan and every edit itself.
/stay-within-limitsCheck current 5-hour and weekly usage before substantial work and between parallel waves, then pause new execution at 95% until the active window is clear enough to continue.
Solves for long-running agent sessions that accidentally exhaust the current budget window mid-task instead of pausing cleanly and resuming with a self-contained plan.
/quick-recapnpx claudepluginhub builderio/skillsGenerate and review coding-agent plans as structured documents with inline diagrams, annotated code walkthroughs, file trees, annotations, feedback, and HTML export.
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