Research Backlog — Development skill for Claude Code
Claude Code skill: enrich Linear backlog tickets with parallel research agents before implementation.
How to install Research Backlog
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open drewdoebereiner/research-backlog and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Research Backlog does
Claude Code skill: enrich Linear backlog tickets with parallel research agents before implementation.
Alternatives in Development
- OpenAI Codex CLI — (Rust implementation) 67.8k ★
- Research Codebase — You are tasked with conducting comprehensive research across the codebase to answer user questions by spawning 10k ★
- Crypto Research Command — Think hard and execute comprehensive cryptocurrency research by calling all crypto analysis agents in parallel 3.4k ★
README
research-backlog
A Claude Code skill that enriches Linear backlog tickets with deep research before a developer touches them.
What it does
For each ticket in your Linear team's backlog, dispatches a parallel research subagent that investigates the technical domain, searches for official docs, prior art, and best practices, then posts a structured comment directly on the ticket. The result is a backlog where every item arrives at the developer with context, resources, and known gotchas already attached — reducing ramp-up time and design mistakes.
Installation
Copy the skill folder into your Claude Code skills directory:
cp -r research-backlog ~/.claude/skills/
Then invoke it in Claude Code with `/research-backlog`.
Usage
Run `/research-backlog` from any repo. The skill will:
- Confirm your
LINEAR_API_KEY - List your teams (or auto-select via
$LINEAR_TEAM_NAME) - Fetch all backlog/unstarted issues
- Dispatch one research subagent per ticket in parallel
- Post a structured research comment on each ticket
- Print a summary table of what was posted
Requirements
LINEAR_API_KEY— required. Get one from linear.app/settings/api.LINEAR_TEAM_NAME— optional. If set, skips the team selection prompt. Value should match part of your team's name (case-insensitive).jq— used to parse GraphQL responses (brew install jq)
License
MIT
Related Skills
Tickets
Analyze codebase, generate an implementation plan, break it into agent-sized Linear tickets with dependencies,
Create Agent Plan
Analyzes tickets and creates convention-compliant implementation plans with gap identification and research co
Claude Replan
Claude Code plugin for validating implementation plans with parallel review subagents — checks codebase alignm
Deepen Plan
Enhance a plan with parallel research agents for each section to add depth, best practices, and implementation
Parallel Handoff Plan
Parallel external + local atomic research builders into an implementation handoff plan
Research Wave
Research several subjects in parallel, then verify each result with an independent fact-checker before the cla
Related Agents
Linear Research
Research Linear tickets, cycles, projects, and milestones using Linearis CLI. Optimized for LLM
Product QA Reviewer
Critical quality gatekeeper at both ends of the delivery: before implementation, runs the readiness check (Def
Backlog Triage Agent
Utiliser pour pré-trier les tickets entrants et préparer la décision humaine sans s'y substituer. Détecte les