research-to-feature SKILL.md skillA
research-to-feature from lstr-1/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add lstr-1/skills/research-to-feature@v0.1.3Pins v0.1.3 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- lstr-1/skills
- Path
research-to-feature/SKILL.md- Versions recorded
- 5
- Latest version
- v0.1.3, committed Oct 13, 2026
- First version recorded
- Aug 20, 2026
- Size
- 14,827 bytes
- Repository stars
- 2
- License
- none declared
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…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# research-to-feature Bridges the gap between research synthesis and implementation-ready feature specifications. Chains three existing skills — `self-discover`, `notebooklm-meta-study`, `review-business-use-case` — into a single pipeline that terminates in exactly one RICE-scored feature recommendation with a developer-ready implementation spec. ## When to Use - The user has a research topic and wants a concrete, evidence-backed feature to build. - The user wants to validate a product idea against published research before committing development effort. - The user needs a prioritized, scored feature recommendation with traceable evidence. - The user says: "research a feature for X", "give me an evidence-backed feature proposal for Y", "turn this research into something I can build", "RICE-scored feature from research on Z". ## When NOT to Use - The user already has a fully specified feature and just needs implementation — this skill generates evidence, not code. - The user wants a general literature review without a feature recommendation — use `notebooklm-meta-study` directly. …
Read the whole file at its exact version.
How to install
mdr add lstr-1/skills/research-to-feature@sha256:e9e50d1f0971da49The line at the top of this page pins the label v0.1.3, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_gyqn5vrjrspfswye)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Aug 20, 2026 and Oct 13, 2026, about one every 14 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.3 latest | 2026-10-13 | 44f1e43 | 14,827 B | A | view · diff |
| v0.1.2 | 2026-09-07 | 223d65d | 14,833 B | A | view · diff |
| v0.1.1 | 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 |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (14827 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
lstr-1/skills · 2 stars · license none declared · pushed 2026-10-13 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_gyqn5vrjrspfswye GET https://markdownregistry.com/api/v1/resolve?ref=lstr-1/skills/research-to-feature GET https://markdownregistry.com/api/v1/blob/e9e50d1f0971da49a989c53ddfefb3d0ce6e8cd3e53133c9060b6146199c600c
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.