research-to-feature is agent-read markdown (skill) from lstr-1/skills: Produces a single RICE-scored feature recommendation backed by a NotebookLM meta-study and a business use-case review, ready for a developer to pick up and implement. Chains self-discover → notebooklm-meta-study → review-business-use-case → RICE scoring into one pipeline. The trigger phrases are "research a feature for", "evidence-backed feature proposal", "RICE-scored feature from research", "turn research into a feature spec", "meta-study to feature", and "research-to-feature pipeline". Do NOT.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
mdr add lstr-1/skills/research-to-feature@v0.1.1mdr add lstr-1/skills/research-to-feature@sha256:18b7976865d58ee9Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_gyqn5vrjrspfswye)
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| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.1 latest | 2026-09-02 | 7364dfa | 14,693 B | A | view · diff |
| v0.1.1 | 2026-08-20 | c74e54e | 14,701 B | A | view · diff |
| v0.1.0 | 2026-08-20 | a17a38e | 14,690 B | A | view |
lstr-1/skills · 2 stars · license none · pushed 2026-09-03 · branch main
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