
Research Implement Feature
Builds a working prototype from a plain request, logging every open decision as it goes
- Stars
- 18,482
- Licence
- MIT
- Files
- 1 file
What it does
When you ask an agent to just build something (for example "implement X for me"), this skill makes it first produce a minimal version that runs end to end, then add one feature at a time, each with its own check. Every choice the request left open is written into an assumption ledger before the code depends on it, and a second model family is then used to look for assumptions that were not declared.
Great for
- Developers who want a quick working prototype from a capability description without being interviewed first
- Researchers turning a decided idea into runnable code for an experiment
- Teams that want an auditable list of the assumptions an agent made during a build
Skip it if
- Open-ended research direction finding, where the research-pipeline skill is the better fit (the skill decides nothing of consequence silently, so it expects a decided target)
- Work where unreviewed autonomous decisions are risky, since the default mode proceeds without asking and the author must review the ledger and diff afterwards
- Runs that need the reviewer tools (Codex, Antigravity, Grok, Claude review) if those are not configured, since reviewer slots can be unavailable
Try asking
- “Implement a CLI tool that converts my CSV files to JSON, prototype first then add validation”
- “Build this feature: a small web page that shows live metrics, get a running version first”
- “Prototype then extend a text-summarisation helper and log every assumption you make”
- “Give me a working implementation of this capability description, using the base repo at the URL I provide”
Install in 3 steps
- 1
Download the skill
The ZIP contains the 1 original files, the MIT licence and an attribution note.
research-implement-feature.zip - 2
Add it to your agent
Claude Code (all projects)
mkdir -p ~/.claude/skills && unzip research-implement-feature.zip -d ~/.claude/skills/Claude Code / Agent SDK (this project only)
mkdir -p .claude/skills && unzip research-implement-feature.zip -d .claude/skills/Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.
- 3
Ask for the task
No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.
Get better results
- State the capability clearly and mention any base repo with base repo: <url> so the agent matches existing conventions
- Use ask: semantic if you want to be asked about decisions that change the meaning of results, rather than reviewing them afterwards
- Read the assumption ledger and the diff after the run, since the agent may have installed dependencies or chosen defaults on your behalf
What's inside
- SKILL.md
Redistributed unmodified from wanshuiyin/Auto-claude-code-research-in-sleep under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.