workflow-research-entry — for Claude Code workflow-research-entry, community, for Claude Code, ide skills, Arguments: work_type =, work_unit =, topic =, (optional). Resolve topic: topic =, feature, resolved_filename = {topic}.md

v1.0.0

Об этом навыке

Подходящий сценарий: Ideal for AI agents that need this is phase 1 of the six-phase workflow:. Локализованное описание: A CLI that installs AI skills, agents, and hooks from git repos into projects, with multi-agent support and manifest-based tracking. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Возможности

This is Phase 1 of the six-phase workflow:
------------------- ---------------------------------------------------- --------
1. Research EXPLORE - ideas, feasibility, market, business ◀ HERE
2. Discussion WHAT and WHY - decisions, architecture, edge cases
3. Specification REFINE - validate into standalone spec

# Core Topics

leeovery leeovery
[1]
[0]
Updated: 3/21/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 10/11

This page remains useful for teams, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review
Review Score
10/11
Quality Score
64
Canonical Locale
en
Detected Body Locale
en

Подходящий сценарий: Ideal for AI agents that need this is phase 1 of the six-phase workflow:. Локализованное описание: A CLI that installs AI skills, agents, and hooks from git repos into projects, with multi-agent support and manifest-based tracking. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Зачем использовать этот навык

Рекомендация: workflow-research-entry helps agents this is phase 1 of the six-phase workflow:. A CLI that installs AI skills, agents, and hooks from git repos into projects, with multi-agent support and manifest-based

Подходит лучше всего

Подходящий сценарий: Ideal for AI agents that need this is phase 1 of the six-phase workflow:.

Реализуемые кейсы использования for workflow-research-entry

Сценарий использования: Applying This is Phase 1 of the six-phase workflow:
Сценарий использования: Applying ------------------- ---------------------------------------------------- --------
Сценарий использования: Applying 1. Research EXPLORE - ideas, feasibility, market, business ◀ HERE

! Безопасность и ограничения

  • Ограничение: Do not act on gathered information until the skill is loaded - it contains the instructions for how to proceed
  • Ограничение: Do not engage with the subject matter — your role is preparation, not processing
  • Ограничение: ⚠️ ZERO OUTPUT RULE : Do not narrate your processing

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

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?

Подходящий сценарий: Ideal for AI agents that need this is phase 1 of the six-phase workflow:. Локализованное описание: A CLI that installs AI skills, agents, and hooks from git repos into projects, with multi-agent support and manifest-based tracking. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

How do I install workflow-research-entry?

Run the command: npx killer-skills add leeovery/agntc/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: Сценарий использования: Applying This is Phase 1 of the six-phase workflow:, Сценарий использования: Applying ------------------- ---------------------------------------------------- --------, Сценарий использования: Applying 1. Research EXPLORE - ideas, feasibility, market, business ◀ HERE.

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?

Ограничение: Do not act on gathered information until the skill is loaded - it contains the instructions for how to proceed. Ограничение: Do not engage with the subject matter — your role is preparation, not processing. Ограничение: ⚠️ ZERO OUTPUT RULE : Do not narrate your processing.

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/agntc/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.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

workflow-research-entry

A CLI that installs AI skills, agents, and hooks from git repos into projects, with multi-agent support and manifest-based tracking. This AI agent skill

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

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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