workflow-research-entry — for Claude Code workflow-research-entry, portal, community, for Claude Code, ide skills, Tmux session management, fuzzy search, project memory, path aliases, keyboard-driven TUI

v1.0.0

About this Skill

Perfect for Developer Agents needing interactive Tmux session management and fuzzy session control. workflow-research-entry is a Tmux session manager AI agent skill that provides fast and fuzzy session management for developers.

Features

Manage Tmux sessions using fuzzy search
Utilize project memory for efficient navigation
Create path aliases for streamlined workflow
Interact with a keyboard-driven TUI for enhanced productivity

# Core Topics

leeovery leeovery
[2]
[0]
Updated: 3/21/2026

Skill Overview

Start with fit, limitations, and setup before diving into the repository.

Perfect for Developer Agents needing interactive Tmux session management and fuzzy session control. workflow-research-entry is a Tmux session manager AI agent skill that provides fast and fuzzy session management for developers.

Core Value

Empowers agents to streamline workflow with project memory, path aliases, and a keyboard-driven TUI, utilizing Tmux for efficient session management and fuzzy search for rapid navigation.

Ideal Agent Persona

Perfect for Developer Agents needing interactive Tmux session management and fuzzy session control.

Capabilities Granted for workflow-research-entry

Automating workflow setup
Generating project-specific Tmux configurations
Debugging session management issues

! Prerequisites & Limits

  • Requires Tmux installation
  • Limited to Tmux session management

About The Source

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is workflow-research-entry?

Perfect for Developer Agents needing interactive Tmux session management and fuzzy session control. workflow-research-entry is a Tmux session manager AI agent skill that provides fast and fuzzy session management for developers.

How do I install workflow-research-entry?

Run the command: npx killer-skills add leeovery/portal/workflow-research-entry. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for workflow-research-entry?

Key use cases include: Automating workflow setup, Generating project-specific Tmux configurations, Debugging session management issues.

Which IDEs are compatible with workflow-research-entry?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for workflow-research-entry?

Requires Tmux installation. Limited to Tmux session management.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add leeovery/portal/workflow-research-entry. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use workflow-research-entry immediately in the current project.

Upstream Repository Material

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Upstream Source

workflow-research-entry

Boost productivity with workflow-research-entry, an AI agent skill for interactive Tmux session management. Get fast and fuzzy session control for developers.

SKILL.md
Readonly
Upstream Repository Material
The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.
Upstream Source

Act as precise intake coordinator. Follow each step literally without interpretation. Do not engage with the subject matter — your role is preparation, not processing.

⚠️ ZERO OUTPUT RULE: Do not narrate your processing. Produce no output until a step or reference file explicitly specifies display content. No "proceeding with...", no discovery summaries, no routing decisions, no transition text. Your first output must be content explicitly called for by the instructions.

Workflow Context

This is Phase 1 of the six-phase workflow:

PhaseFocusYou
1. ResearchEXPLORE - ideas, feasibility, market, business◀ HERE
2. DiscussionWHAT and WHY - decisions, architecture, edge cases
3. SpecificationREFINE - validate into standalone spec
4. PlanningHOW - phases, tasks, acceptance criteria
5. ImplementationDOING - tests first, then code
6. ReviewVALIDATING - check work against artifacts

Stay in your lane: Explore freely. This is the time for broad thinking, feasibility checks, and learning. Surface options and tradeoffs — don't make decisions. When a topic converges toward a conclusion, that's a signal it's ready for discussion phase, not a cue to start deciding. Park it and move on.


Instructions

Follow these steps EXACTLY as written. Do not skip steps or combine them. Present output using the EXACT format shown in examples - do not simplify or alter the formatting.

CRITICAL: This guidance is mandatory.

  • After each user interaction, STOP and wait for their response before proceeding
  • Never assume or anticipate user choices
  • Even if the user's initial prompt seems to answer a question, still confirm with them at the appropriate step
  • Complete each step fully before moving to the next
  • Do not act on gathered information until the skill is loaded - it contains the instructions for how to proceed

Step 1: Parse Arguments

Output the next fenced block as a code block:

── Parse Arguments ──────────────────────────────

Output the next fenced block as markdown (not a code block):

> Reading the handoff context and determining which
> research topic to work with.

Arguments: work_type = $0, work_unit = $1, topic = $2 (optional). Resolve topic: topic = $2, or if not provided and work_type is not epic, topic = $1.

Store work_unit for the handoff.

Resolve filename:

If work_type is feature

resolved_filename = {topic}.md

→ Proceed to Step 2.

If work_type is epic and topic resolved

resolved_filename = {topic}.md

→ Proceed to Step 2.

If work_type is epic and no topic

Deferred — gather-context will resolve it.

→ Proceed to Step 4.


Step 2: Check Phase Entry

Output the next fenced block as a code block:

── Check Phase Entry ────────────────────────────

Output the next fenced block as markdown (not a code block):

> Checking if research already exists for this topic.

Check if the research phase entry exists:

bash
1node .claude/skills/workflow-manifest/scripts/manifest.cjs exists {work_unit}.research.{topic}

If exists (true)

→ Proceed to Step 3.

If not exists (false)

→ Proceed to Step 4.


Step 3: Validate Phase

Output the next fenced block as a code block:

── Validate Phase ───────────────────────────────

Output the next fenced block as markdown (not a code block):

> Checking the status of this research — in progress
> or completed.

Load validate-phase.md and follow its instructions as written.

→ Proceed to Step 5.


Step 4: Gather Context

Output the next fenced block as a code block:

── Gather Context ───────────────────────────────

Output the next fenced block as markdown (not a code block):

> Collecting initial context to seed the research session.

If research context is already available in conversation

The caller already gathered context (idea description, motivation, constraints). Do not re-ask.

→ Proceed to Step 5.

Otherwise

Load gather-context.md and follow its instructions as written.

→ Proceed to Step 5.


Step 5: Invoke the Skill

Output the next fenced block as a code block:

── Invoke Research ──────────────────────────────

Output the next fenced block as markdown (not a code block):

> Handing off to the research process with all
> gathered context.

Load invoke-skill.md and follow its instructions as written.

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