workflow-research-entry — community workflow-research-entry, tick, leeovery, community, ai agent skill, ide skills, agent automation, AI agent skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for AI coding agents needing task management and determinism in their workflow. Tick is a lightweight task management Go CLI designed for AI coding agents. It prioritises determinism, simplicity, and zero-friction git integration.

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

Quality Score

Top 5%
54
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
> npx killer-skills add leeovery/tick/workflow-research-entry
Supports 19+ Platforms
Cursor
Windsurf
VS Code
Trae
Claude
OpenClaw
+12 more

Agent Capability Analysis

The workflow-research-entry skill by leeovery is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.

Ideal Agent Persona

Perfect for AI coding agents needing task management and determinism in their workflow.

Core Value

Empowers agents to prioritize tasks using determinism and simplicity, leveraging Claude Code and Cursor for optimized workflow management, and supporting protocols like workflow-research-entry for comprehensive content analysis.

Capabilities Granted for workflow-research-entry

Automating task prioritization
Generating deterministic workflow reports
Debugging workflow inconsistencies

! Prerequisites & Limits

  • Requires Claude Code or Cursor integration
  • Designed for AI coding agents only
Project
SKILL.md
3.6 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

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SKILL.md
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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

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

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

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

→ Proceed to Step 5.


Step 4: Gather Context

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

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

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 AI coding agents needing task management and determinism in their workflow. Tick is a lightweight task management Go CLI designed for AI coding agents. It prioritises determinism, simplicity, and zero-friction git integration.

How do I install workflow-research-entry?

Run the command: npx killer-skills add leeovery/tick/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 task prioritization, Generating deterministic workflow reports, Debugging workflow inconsistencies.

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 Claude Code or Cursor integration. Designed for AI coding agents only.

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/tick/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.

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