Content tagged with "ai-tools"
Unified all skill names to gerund form, added pushy trigger clauses to descriptions, and merged overlapping skills. Centralized quality standards cut maintenance overhead.
Applied Anthropic's two official best practice guides to a real skill set, uncovering reserved word violations, naming issues, and missing progressive disclosure. Includes a self-check workflow using a custom analysis skill.
Turning the AI coding maturity model into practice. A 30-day action plan, review guideline creation, cross-team metrics bootstrapping, and quarterly review cadence.
A 5-level maturity model for coding agent adoption, built on Anthropic and OpenAI frameworks but tailored to software development teams. Assess your current level and identify the highest-impact next step.
Normalize metrics from multiple coding agents into a common schema and visualize them in a unified dashboard. Separating comparable from incomparable metrics is the key to avoiding misleading cross-agent comparisons.
Converted CLAUDE.md to Kiro steering and skills to Agent Skills. The key discovery: Kiro's skills follow the agentskills.io standard, so Claude Code skills can be copied directly with zero format changes.
A plan to roll out individually proven Claude Code meta-skills to a 20-person team. The critical design decision: separating force-distributed core skills from team-specific customizations.
Implementing 'meta-skills' to automate CLAUDE.md optimization and skill creation. Building a continuous improvement process with analyze-claude-md, optimize-claude-md, and create-skill
I cut a 355-line CLAUDE.md down to 59 lines by extracting detailed procedures into Claude Code's skills system. The key insight: separate always-loaded rules from on-demand procedures to dramatically improve response accuracy.
Give Claude Code project context through CLAUDE.md to generate convention-compliant code. Covers the five-section design philosophy and the surprising discovery that a detailed 355-line version backfired.