rootnode-skill-builderlisted

Builds, validates, packages, tests, and optimizes deployment-ready Skill files (SKILL.md + references/ + scripts/ + agents/) from design specifications. Three pre-build gates + 9-dimension quality gate (with D9a/b/c empirical evidence tiers) + behavioral iteration loop + automated description optimizer + blind version comparator. Use for building, reviewing, revising, testing, or optimizing Skills. Trigger on: "build this Skill," "review this Skill," "test my Skill," "optimize the description," "compare these Skill versions," "should this be a hook instead," "build a template first." Also: "my Skill doesn't activate," "my description truncates," "my SKILL.md is too long," "my Skill is overtriggering." Do NOT use when designing Skill methodology — that's design work, not packaging. Do NOT use for prompt compilation, project auditing, or prompt scoring (use rootnode-prompt-compilation, rootnode-project-audit, or rootnode-prompt-validation if available).
drayline/rootnode-skills · ★ 40 · AI & Automation · score 76

Install: claude install-skill drayline/rootnode-skills

# Skill Builder > **Calibration:** Tier 2 (Sonnet-graceful) — designed and tested against Opus 5 + Sonnet 5 dual-primary. Runs correctly on Sonnet 4.6 (legacy-graceful) with slightly less depth on multi-dimensional analysis; on Haiku 4.5 with extended thinking; fallback-graceful on Opus 4.8. Effort default is `high` on Opus 5 and Sonnet 5; step down to `medium` for cost-sensitive runs where evals show quality holds. D9a graders run on Opus 5 or Sonnet 5. See repository README for model compatibility. > **Version 3.0:** Methodology + tooling release. D9 expanded into D9a/D9b/D9c sub-levels (empirical Tier A / empirical Tier B / analytical floor). Adds Description Refinement Loop methodology (manual or automated via `scripts/description_optimizer.py`). Adds Tier A/B/C environment-adaptive degradation. Adds executable layer (`scripts/`, `agents/`, `eval-viewer/`) ported from upstream Anthropic skill-creator with content-class-policy adaptation. v2.1 build methodology preserved verbatim where unchanged. Build, review, revise, test, and optimize root.node Skills in the SKILL.md format for the Anthropic Agent Skills ecosystem. This Skill carries the complete build methodology — Agent Skills spec, conversion rules, progressive disclosure patterns, pre-build gates, the 9-dimension quality gate (with sub-level evidence tiers), behavioral iteration, description optimization, and blind version comparison. Skills are built from design specifications produced during methodology design