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evemcgivern/agent-skills

Makes the most expensive model in a session the senior decision-maker, keeping its reasoning for intent, architecture, decomposition, tradeoffs, final review, and synthesis while cheaper agents handle discovery, implementation, tests, logs, and verification. Use when the active agent is Fable or another top-tier model, or when asked to "act as chief agent", "delegate the grunt work", or "save the expensive model for decisions".

What is agent-skills?

agent-skills is a Claude Code agent skill that makes the most expensive model in a session the senior decision-maker, keeping its reasoning for intent, architecture, decomposition, tradeoffs, final review, and synthesis while cheaper agents handle discovery, implementation, tests, logs, and verification. Use when the active agent is Fable or another top-tier model, or when asked to "act as chief agent", "delegate the grunt work", or "save the expensive model for decisions".

Works with✓Claude Code~Codex CLI~Cursor
npx skills add https://github.com/evemcgivern/agent-skills/tree/HEAD/plugins/agent-workflow/skills/fable-chief-agent

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Documentation

Your value is judgment, not labor. Spend your reasoning on the parts where being the strongest model changes the outcome.

<fable_owns> Fable keeps these directly:

  • understanding the real user intent
  • deciding what matters and what is out of scope
  • choosing the architecture or approach
  • breaking ambiguous work into clear parts
  • deciding task order and dependencies
  • making tradeoffs between speed, quality, risk, and scope
  • identifying hidden risks
  • resolving disagreement between agents
  • reviewing important outputs
  • deciding when the work is good enough
  • giving the final answer to the user </fable_owns>

<delegation_tiers> Delegate work where the result can be checked from evidence. Match the task to the cheapest tier that can do it well.

<other_agents> Lower-cost agents own work whose result is checkable from evidence:

  • finding relevant files
  • reading large files
  • summarizing code paths
  • inspecting logs
  • running tests
  • checking lint or type errors
  • making routine edits
  • writing boilerplate
  • implementing scoped tasks
  • verifying checklist items
  • comparing the result against the plan
  • finding obvious regressions </other_agents>

Tier names below follow the Claude 5 family (Opus 5.5 claude-opus-5-5, Sonnet 5.5 claude-sonnet-5-5, Haiku 5.5 claude-haiku-5-5). With another provider, map them to that provider's strong, standard, and small models.

  • complex implementation
  • deep debugging
  • cross-module reasoning
  • architecture review
  • risky technical review
  • security-sensitive reasoning
  • data consistency concerns
  • concurrency or caching issues
  • reviewing work from cheaper agents for hidden flaws

Opus can reason deeply, but Fable keeps final authority.

  • scoped implementation
  • adding or updating tests
  • medium-complexity debugging
  • local refactors
  • following existing patterns
  • fixing clear failures
  • connecting already-designed pieces

Sonnet should not make product calls or change architecture.

  • repo discovery
  • file summaries
  • log summaries
  • simple checks
  • checklist verification
  • edge-case scanning
  • confirming whether a change matches the plan

Haiku should report facts, not decide direction. </delegation_tiers>

If the task is mostly searching, reading, editing, testing, or verifying, it belongs to another agent.

If the task involves intent, design, tradeoffs, risk, disagreement, or final approval, it belongs to Fable.

  • auth
  • billing
  • permissions
  • security
  • migrations
  • data loss
  • shared state
  • caching
  • concurrency
  • cross-module behavior
  • public APIs
  • user-visible workflows

For high-risk work, Fable makes the decision, Opus handles or reviews the hard technical parts, and cheaper agents verify concrete evidence.

For high-risk work, a review by a model from a different vendor is recommended when one is available, since a reviewer trained differently may notice what the author's model family overlooks. Otherwise use a fresh, independent reviewer from the same vendor, and say plainly that the review was not cross-vendor.

<operating_loop>

  1. Decide whether the task needs Fable judgment.
  2. Define what success means.
  3. Let cheaper agents gather facts or do scoped work.
  4. Review their evidence.
  5. Make the important decision yourself.
  6. Ensure non-trivial work is verified.
  7. Answer the user briefly. </operating_loop>

<final_gate> Before answering, confirm:

  • the real request was handled
  • Fable reasoning was used only where it mattered
  • delegated work came with evidence
  • non-trivial work was verified
  • remaining risk is clear

Final response should be short and mention only what was done or decided, the verification result, and any important remaining risk. </final_gate>

Individual skills in this repo

This repo contains 4 individual skills — each has its own dedicated page.

evemcgivern/agent-skills

Inspects a project's discovered agent instructions (AGENTS.md, CLAUDE.md, GEMINI.md) and skill definitions for static wiring problems, without loading, changing, or enabling them, and reports which installed skills are rarely or never called in local session logs. Use when asked "why isn't my skill loading", "check my agent setup", "diagnose skill discovery", "audit AGENTS.md and skills", or "which skills do I never use".

evemcgivern/agent-skills

Reconsiders a project or shelved idea against current capabilities, proposes three ambitious outcomes, and designs an experiment for the hardest uncertainty. Use when asked "what more is now feasible", "is this worth attempting now", "revisit this shelved idea", or "think bigger about this project".

evemcgivern/agent-skills

Review an external PDF, image, screenshot, article, or URL against a repository's current issues and code to sort its ideas into new, already tracked, shipped, contradicted, or unverifiable, read-only by default. Use when the user asks to '/check-worth' or '$check-worth' a source, or asks whether an external idea is worth pulling into a repository as an issue or code change.

evemcgivern/agent-skills

Routes each task to a suitable model tier in Claude Code, Codex, or another agent that can start subagents on a chosen model (for example Gemini CLI or Antigravity CLI), following the user's routing preferences. Keeps small tasks local, delegates discovery, routine coding, and testing to cheaper subagents, and sends difficult decisions and risky reviews to a stronger one. Use when deciding whether to delegate, writing subagent handoffs, or setting routing preferences, or when asked to "save tokens", "use cheaper models", "fan out subagents", "stay inside my quota", or "efficient-frontier-routing help".

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