Agent Skills Directory

10 Agent Skills built specifically for Claude Fable 5 — intent, boundaries, and verification hooks instead of the step-by-step micromanagement older-model skills relied on. See skills/ for the individual skill files.

Agent skill for preparing a uCoz site for work via MCP: create a new site or configure an existing one, ask clarifying questions for the scenario, choose available domain zones and site theme presets from the live uCoz interface, enable required modules, create/reuse uAPI and FTP credentials, assemble the official ucoz-mcp configuration, verify access, and hand off control to downstream task skills.

Design and evolve agent skills into cost-bounded loops, workflows, scripts, and memory updates. Use when creating or auditing reusable agent methods, converting prompts or skills into workflows, designing open or closed agent loops, defining supervisor/evaluator contracts, or deciding whether repeated agent work should become a skill, checklist, script, workflow, or autonomous loop.

Design role-specific or workflow-specific agent skill packs without collapsing everything into one prompt. Use when creating assistant layers for teams, products, functions, or operating roles. Define base-vs-difference layers, pack boundaries, references, triggers, and rollout order.

Convert books, papers, long documents, or prior reading notes into compact reusable agent skills. Use when the user provides a PDF, EPUB, DOCX, HTML, Markdown, text file, article bundle, or structured notes and wants reusable workflows, mental models, frameworks, checklists, anti-patterns, or a public/private SKILL.md artifact rather than a summary.

This skill should be used when the user asks to "understand context", "explain context windows", "design agent architecture", "debug context issues", "optimize context usage", or discusses context components, attention mechanics, progressive disclosure, or context budgeting. Provides foundational understanding of context engineering for AI agent systems.

Use when creating, updating, or improving agent skills.

Author, audit, and improve Grafana SKILL.md files against Anthropic's published Agent Skills guidance and the four-dimension rubric the grafana/skills CI gate uses (conciseness, actionability, workflow clarity, progressive disclosure). Applies the canonical SKILL.md structure (YAML frontmatter + body + references/ + scripts/ + assets/), the "pushy description" trigger pattern, the three-level progressive-disclosure model, and the validate-fix-rerun feedback loop. Use when creating a new skill...

Create portable agent skills with clear triggers, concise instructions, progressive disclosure, and optional bundled resources. Use when the user wants to create, write, build, improve, or package a new skill.

Production-grade AI engineering for LLM applications, RAG systems, and agent architectures. Use when building AI features, designing model integrations, or implementing AI safety and monitoring.

This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.

Create your Claude Agent SDK skill in one prompt, then learn to improve it throughout the chapter