Releases: zhaizibin/deep-analysis
Releases · zhaizibin/deep-analysis
Release list
v0.1.0 — Initial Release
What's in v0.1.0
First public release of the Deep Analysis skill for AI coding agents.
Features
- 9 structured analysis methods: layered information decomposition, anomaly-first analysis, interest structure mapping, causal mechanism penetration, cross-domain comparison, multi-party game-theory modeling, probability anchoring, devil's advocate deconstruction, and consistency audit.
- Method router: automatic method selection based on the user's analysis need.
- Default workflow: step-by-step pipeline for broad deep-analysis requests.
- Validation script:
scripts/validate_skill.pychecks frontmatter, method links, and file integrity. - GitHub Actions CI: automated validation on push and PR.
- 3 worked examples: policy analysis, product postmortem, competitive strategy.
- Codex-compatible agent config:
skills/deep-analysis/agents/openai.yaml.
Installation
Clone this repository and copy skills/deep-analysis/ into your agent's skill directory. Alternatively, reference this repo as a skill source.
Known Limitations
- Currently single-language (English skill content).
- No JSON output format yet (tracked in #6).
- Setup guide covers only Windows (tracked in #5).
License
MIT