Root cause: CLI tools (ai-agent-skills, agent-skills-cli) look for SKILL.md
at the specified install path. 7 of 9 domain directories were missing this
file, causing "Skill not found" errors for bundle installs like:
npx ai-agent-skills install alirezarezvani/claude-skills/engineering-team
Fix:
- Add root-level SKILL.md with YAML frontmatter to 7 domains
- Add .codex/instructions.md to 8 domains (for Codex CLI discovery)
- Update INSTALLATION.md with accurate skill counts (53→170)
- Add troubleshooting entry for "Skill not found" error
All 9 domains now have: SKILL.md + .codex/instructions.md + plugin.json
Closes#301
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added frontmatter to 34 skills that were missing it entirely (0% Tessl score)
- Fixed name field format to kebab-case across all 169 skills
- Resolves#284
* fix(skill): enhance git-worktree-manager with scripts, references, and Anthropic best practices
* fix(skill): enhance mcp-server-builder with scripts, references, and Anthropic best practices
* fix(skill): enhance changelog-generator with scripts, references, and Anthropic best practices
* fix(skill): enhance ci-cd-pipeline-builder with scripts, references, and Anthropic best practices
* fix(skill): enhance prompt-engineer-toolkit with scripts, references, and Anthropic best practices
* docs: update README, CHANGELOG, and plugin metadata
* fix: correct marketing plugin count, expand thin references
---------
Co-authored-by: Leo <leo@openclaw.ai>
Complete release management toolkit including:
- changelog_generator.py: Parse conventional commits and generate structured changelogs
- version_bumper.py: Determine semantic version bumps from commit analysis
- release_planner.py: Assess release readiness and generate coordination plans
- Comprehensive documentation covering SemVer, Git workflows, hotfix procedures
- Sample data and expected outputs for testing
- Zero external dependencies, Python standard library only
Enables automated changelog generation, version management, and release coordination
from git history using conventional commits specification.
- SLO Designer: generates comprehensive SLI/SLO frameworks with error budgets and burn rate alerts
- Alert Optimizer: analyzes and optimizes alert configurations to reduce noise and improve effectiveness
- Dashboard Generator: creates role-based dashboard specifications with golden signals coverage
Includes comprehensive documentation, sample data, and expected outputs for testing.
- Comprehensive interview system design toolkit
- Interview Loop Designer: generates calibrated loops for any role/level
- Question Bank Generator: creates competency-based questions with rubrics
- Hiring Calibrator: analyzes interview data for bias and calibration issues
- Complete reference materials: competency matrices, bias mitigation, debrief guides
- Sample data and expected outputs for testing
- Supports all major roles: SWE, PM, Designer, Data, DevOps, Leadership
- Zero external dependencies, Python standard library only
- Dual output: JSON + human-readable text formats
