Changelog

All notable changes to this project are documented here. The format is based on Keep a Changelog, and this project adheres to semantic versioning where practical.

[Unreleased]

Added

• Launch-readiness pass: rewritten README first screen (working hero visual, quickstart, "why this vs alternatives" table), assets/hero.svg + assets/demo.cast terminal demo, GitHub Actions CI (/.github/workflows/ci.yml) with a status badge, issue/PR templates, CITATION.cff, two new runnable example skills (weekly-crm-report, pr-blocker-summarizer), and a launch kit (LAUNCH.md + docs/launch/). Corrected the platform count to the real 17 (was overstated as "20+") throughout the README.
• End-to-end eval rollout harness: run_evals.py --rollout runs a skill's declared run command on each golden input and scores the real output through the existing command checks (closing the "does not run the skill itself" gap). --promote captures the first passing output as the pending-first-green baseline; --timeout bounds each run. The bundled stock-analyzer example now ships a real eval spec + run_pipeline.py so the harness is integration-tested.
• LICENSE (MIT), CONTRIBUTING.md, and this CHANGELOG.md.
• Windows installers tracked in version control (install.ps1, scripts/bootstrap.ps1, scripts/bootstrap.bat, scripts/install-skill.ps1, scripts/install-template.ps1), with test_install_parity.py gating bash/PowerShell parity.
• Phase 5 harness patterns: every generated skill gets input validation, --check-prereqs, --diagnostics, self-bootstrapping wrappers, and activation/provenance frontmatter checks in validate.py.

Changed

• Consolidated SKILL.md parsing into scripts/skill_document.py and the install-target registry into scripts/platforms.py.
• Bumped architecture-guide.md and export-guide.md headers to v6.0.

Removed

• Marketing collateral (Dynamous/) and a one-off research dump (agentic-tool-skill-systems/).

[6.0.0]

• Five-phase generation pipeline (discovery, design, architecture, detection, implementation) documented in references/pipeline-phases.md.
• Cross-platform export across 17 agent platforms.
• Per-skill eval specs (evals/*.eval.md + scripts/run_evals.py).
• Deterministic pipeline orchestration (run_pipeline.py) for multi-script skills.