Agent skill · Workflow & Productivity

deep-research-plan

Use deep-research-plan for repo-change plans needing downloaded projects, articles, or papers, per-reference analysis, graphify JSON, and stronger-than-huge planning; exclude direct implementation-only, factual/explanation, trivial, or explicit no-plan requests.

Optim-Agentgithub.com/Optim-AgentGitHub ↗
claude-codecodexMIT
Install
npx skills add Optim-Agent/optim-plans --skill deep-research-plan --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 3 KB
Bundled scripts: none
Path: skills/deep-research-plan/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 288
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Deep Research Plan Research first; planning and execution still follow `../optim-plans/SKILL.md`. ## Required Flow 1. Read and follow `../optim-plans/SKILL.md`, treating the request as if it named `deep-research-plan`. 2. Inspect the target Git repo read-only and initialize or resume the optim-plans controller before external research. 3. Ensure the root `.gitignore` ignores `refs/`; add that ignore entry only during execution approval if it is missing. 4. Search proactively for related projects, articles, and papers. Prefer `agent-reach` when available. If `agent-reach` is missing, ask exactly one yes/no sentence about installing it locally; on yes, install it first and use it, and on no, use websearch fallback and record the fallback reason. 5. Download at least 3 relevant refs into `./refs/<topic>/` before writing `PLAN_v1.md`. Do not satisfy this with `curl` alone, README-only snapshots, or abstract-only paper notes; keep full local project, article, paper, docs, or artifact content sufficient for deep analysis. 6. Record every downloaded ref through the controller with `deep-record-ref` before relying on it. Record graph output with `deep-record-graph`, analysis artifacts wi

What's inside
Steps it walks through
  1. Required Flow
  2. Evidence Rules
Ships with 1 file
  • agents/openai.yaml
More from optim-plans
All skills →
About this skill
What does the deep-research-plan skill do?

Use deep-research-plan for repo-change plans needing downloaded projects, articles, or papers, per-reference analysis, graphify JSON, and stronger-than-huge planning; exclude direct implementation-only, factual/explanation, trivial, or explicit no-plan requests.

How do I install it?

Run `npx skills add Optim-Agent/optim-plans --skill deep-research-plan --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From Optim-Agent/optim-plans, a repository with 288 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going