By kpab
Fix common Claude Code agent failures: over-planning, gold-plating, fabricated progress reports, unrequested actions, and stalled autonomous runs. Includes a skill-refactorer for migrating pre-Fable-5 skills.
Stop Claude Fable 5 from over-planning, re-deriving settled facts, or surveying options it will never pursue. Use in any interactive or agentic session where responses feel slow, turns run long on simple asks, or the model keeps restating context before acting. Especially valuable at high effort settings and in ambiguous, multi-threaded requests.
Keep Claude Fable 5 running to completion in unattended pipelines — no stopping on a statement of intent, no mid-run permission questions, no self-imposed session splits over context worries. Use for overnight runs, scheduled jobs, CI agents, and any harness where nobody is watching to type "continue".
Choose and tune the effort setting for Claude Fable 5 workloads. Use whenever the user asks which effort level to use ("what effort should this batch job run at?", "is xhigh worth it here?"), complains that Fable 5 is slow or expensive, wants to cut latency or token cost, designs a pipeline/harness that mixes routine and hard tasks, or reviews API code that sets output_config.effort.
Make Claude Fable 5 progress reports verifiable against actual tool results during long autonomous runs. Use for any multi-hour or overnight agent session, scheduled pipelines, CI agents, or whenever the user has been burned by status updates claiming work that wasn't done. Apply before launch, not after a fabricated report appears.
A file-based lesson memory that Claude Fable 5 reads and maintains across sessions. Use for any recurring agent (daily jobs, long projects, team assistants) where the same corrections keep being re-made, and when bootstrapping a new agent from past session history. Fable 5 benefits from recorded lessons noticeably more than prior models did.
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10 battle-ready Agent Skills for Claude Fable 5 — the first skill collection designed around how Claude Fable 5 actually behaves, not how older models needed to be babysat.
Anthropic's own guidance for Fable 5 notes that skills written for prior models are often too prescriptive for it and can degrade output quality. Old skills micromanage; Fable 5 needs intent, boundaries, and verification hooks instead. Every skill here is written Fable 5-first.
Works with Claude Code, Claude Cowork, Cursor, Copilot, Gemini CLI, and any harness that reads SKILL.md files (agentskills.io-style: YAML frontmatter + Markdown body).
| # | Skill | What it fixes |
|---|---|---|
| 1 | skill-refactorer | The meta-skill. Audits your pre-Fable-5 skills/prompts, deletes capability-compensation scaffolding, keeps real guardrails. |
| 2 | act-when-ready | Over-planning at high effort: re-deriving settled facts, surveying options it won't pursue. |
| 3 | effort-calibrator | Picking the right effort level per workload; Fable 5 at lower effort often beats older models at xhigh. |
| 4 | no-gold-plating | Diffs bigger than the ask: unrequested refactors, speculative abstractions, impossible-state error handling. |
| 5 | grounded-progress | Status reports on long runs must point at tool-result evidence — no more "tests passing" that never ran. |
| 6 | scope-guard | "Diagnose" ≠ "fix". No unrequested actions, no state changes on pattern-matched evidence. |
| 7 | subagent-orchestration | Parallel delegation, long-lived workers, and fresh-context verifier subagents that out-perform self-critique. |
| 8 | markdown-memory | A file-based lesson memory Fable 5 exploits unusually well — with the maintenance discipline that keeps it useful. |
| 9 | autonomous-continuation | Unattended runs that stall on "I'll now run X" or mid-run permission questions. Includes the context-budget composure pattern. |
| 10 | regrounding-summary | Final reports readable by someone who saw none of the work — no arrow chains, no invented abbreviations. |
Claude Code (recommended) — install as a plugin, get updates automatically:
/plugin marketplace add kpab/claude-fable-5-skills
/plugin install fable5-skills@claude-fable-5-skills
Manual — copy any skill folder into your skills directory:
git clone https://github.com/kpab/claude-fable-5-skills
cp -r claude-fable-5-skills/skills/act-when-ready ~/.claude/skills/
Or cherry-pick per project by placing folders under .claude/skills/ in the repo. Other harnesses: point your skill loader at the skills/ directory; each skill is a self-contained folder with one SKILL.md.
Four skills are task-shaped and trigger automatically when a matching request appears: skill-refactorer, effort-calibrator, subagent-orchestration, markdown-memory.
The other six are standing behavioral rules. A model that is mid-over-planning won't reliably decide to invoke act-when-ready on its own, so don't count on auto-triggering for these. Two reliable paths:
/act-when-ready) at the start of the session, or the moment the symptom shows up.CLAUDE.md; this is how Anthropic's own Fable 5 guide ships these patterns. autonomous-continuation is written for exactly this.Fable 5 shipped on 2026-06-09. These skills track a moving target — expect refinements as the community learns the model. Issues and PRs with reproducible before/after examples are very welcome.
npx claudepluginhub kpab/claude-fable-5-skills --plugin fable5-skillsA Socratic sparring partner for true understanding. Helps you grok difficult texts, papers, and concepts by making you reconstruct the logic in your own words — never summarizing or ghost-writing for you.
A harness that makes Opus (or any Claude model) behave like Fable. It enforces completion, evidence, and verification as procedure, and auto-routes the right verified pack per task: render-output verification, a multi-story evidence gate, an investigation protocol, and an early-stop guard. It does not fake model capability — see README for the full analysis of what transfers and what does not.
Create and validate production-grade agent skills with 100-point marketplace grading
AI artifact engineering: prompts, skills, subagents, and output styles
Create and manage Claude Code skills, plugins, subagents, and hooks. Use when building new skills, validating existing skills, testing skills empirically, creating plugins, converting projects to plugins, creating hooks, or managing plugin automation. Includes /skills-toolkit:skill-composer, /skills-toolkit:skill-refiner, /skills-toolkit:skill-tester, /skills-toolkit:plugin-creator, /skills-toolkit:subagent-creator, /skills-toolkit:hook-creator, and /skills-toolkit:ask-user-question skills.
Public Builder skills for docs-first discipline, autonomous execution, cross-agent review, efficient agent workflows, clear status recaps, and Agent-Native Plan modes.
This skill should be used when the model's ROLE_TYPE is orchestrator and needs to delegate tasks to specialist sub-agents. Provides scientific delegation framework ensuring world-building context (WHERE, WHAT, WHY) while preserving agent autonomy in implementation decisions (HOW). Use when planning task delegation, structuring sub-agent prompts, or coordinating multi-agent workflows.