explore▌
parcadei/continuous-claude-v3 · updated Apr 8, 2026
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Meta-skill for exploring an internal codebase at varying depths. READ-ONLY workflow - no code changes.
Explore - Internal Codebase Exploration
Meta-skill for exploring an internal codebase at varying depths. READ-ONLY workflow - no code changes.
Usage
/explore <depth> [options]
Question Flow (No Arguments)
If the user types just /explore with no or partial arguments, guide them through this question flow. Use AskUserQuestion for each phase.
Phase 0: Workflow Selection
question: "How would you like to explore?"
header: "Explore"
options:
- label: "Help me choose (Recommended)"
description: "I'll ask questions to pick the right exploration depth"
- label: "Quick - fast overview"
description: "Chain: tldr tree → tldr structure (~1 min)"
- label: "Deep - comprehensive analysis"
description: "Chain: onboard → tldr → research → document (~5 min)"
- label: "Architecture - layers & dependencies"
description: "Chain: tldr arch → call graph → layer mapping (~3 min)"
Mapping:
- "Help me choose" → Continue to Phase 1-4 questions
- "Quick" → Set depth=quick, skip to Phase 2 (scope)
- "Deep" → Set depth=deep, skip to Phase 2 (scope)
- "Architecture" → Set depth=architecture, skip to Phase 2 (scope)
If Answer is Unclear (via "Other"):
question: "I want to understand how deep you want to explore. Did you mean..."
header: "Clarify"
options:
- label: "Help me choose"
description: "Not sure - guide me through questions"
- label: "Quick - fast overview"
description: "Just want to see what's here"
- label: "Deep - comprehensive analysis"
description: "Need thorough understanding"
- label: "Neither - let me explain differently"
description: "I'll describe what I need"
Phase 1: Exploration Goal
question: "What are you trying to understand?"
header: "Goal"
options:
- label: "Get oriented in the codebase"
description: "Quick overview of structure"
- label: "Understand how something works"
description: "Deep dive into specific area"
- label: "Map the architecture"
description: "Layers, dependencies, patterns"
- label: "Find where something is"
description: "Locate specific code/functionality"
Mapping:
- "Get oriented" → quick depth
- "Understand how" → deep depth
- "Map architecture" → architecture depth
- "Find where" → quick with --focus
Phase 2: Scope
question: "What area should I focus on?"
header: "Focus"
options:
- label: "Entire codebase"
description: "Explore everything"
- label: "Specific directory or module"
description: "I'll specify the path"
- label: "Specific concept/feature"
description: "e.g., 'authentication', 'API routes'"
If "Specific directory" or "Specific concept" → ask follow-up for the path/keyword.
Phase 3: Output Format
question: "What should I produce?"
header: "Output"
options:
- label: "Just tell me what you find"
description: "Interactive summary in chat"
- label: "Create a documentation file"
description: "Write to thoughts/shared/docs/"
- label: "Create handoff for implementation"
description: "Prepare context for coding agent"
Mapping:
- "Documentation file" → --output doc
- "Handoff for implementation" → --output handoff
Phase 4: Entry Point (Architecture only)
If architecture depth selected:
question: "Where should I start the analysis?"
header: "Entry point"
options:
- label: "Auto-detect (main, cli, app)"
description: "Find common entry points"
- label: "Specific function/file"
description: "I'll specify the entry point"
Summary Before Execution
Based on your answers, I'll run:
**Depth:** deep
**Focus:** "authentication"
**Output:** handoff
**Path:** src/
Proceed? [Yes / Adjust settings]
Depths
| Depth | Time | What it does |
|---|---|---|
quick |
~1 min | tldr-explorer only - fast structure overview |
deep |
~5 min | onboard + tldr-explorer + research-codebase + write doc |
architecture |
~3 min | tldr arch + call graph + layer mapping + circular dep detection |
Options
| Option | Description | Example |
|---|---|---|
--focus "area" |
Focus on specific area | --focus "auth", --focus "api" |
--output handoff |
Create handoff for next agent | --output handoff |
--output doc |
Create documentation file | --output doc |
--entry "func" |
Start from specific entry point | --entry "main", --entry "process_request" |
Examples
# Quick structure overview
/explore quick
# Deep exploration focused on auth
/explore deep --focus "auth" --output doc
# Architecture analysis from specific entry
/explore architecture --entry "cli" --output handoff
# Quick focused exploration
/explore quick --focus "hooks"
Workflow Details
Quick Depth
Fast structure overview using tldr-explorer. Best for:
- Initial orientation
- Quick questions about structure
- Finding where things are
Steps:
- Run
tldr treefor file structure - Run
tldr structurefor codemaps - If
--focusprovided, runtldr searchfor targeted results - Return summary
Commands:
# 1. File tree
tldr tree ${PATH:-src/} --ext .py
# 2. Code structure
tldr structure ${PATH:-src/} --lang python
# 3. Focused search (if --focus provided)
tldr search "${FOCUS}" ${PATH:-src/}
Deep Depth
Comprehensive exploration with documentation output. Best for:
- First time in a codebase
- Preparing for major work
- Creating reference documentation
Steps:
- Check if onboarded (look for
.claude/cache/tldr/), if not run onboard - Run tldr-explorer for structure
- Spawn research-codebase agent for patterns
- Write findings to doc or handoff
Subprocess:
# 1. Onboard check
if [ ! -f .claude/cache/tldr/arch.json ]; then
# Spawn onboard agent
fi
# 2. Structure analysis
tldr structure src/ --lang python
tldr calls src/
# 3. Research patterns (via scout agent)
Task: research-codebase → "Document existing patterns in ${FOCUS:-codebase}"
# 4. Write output
→ thoughts/shared/research/YYYY-MM-DD-explore-{focus}.md
→ OR thoughts/shared/handoffs/{session}/explore-{focus}.yaml
Architecture Depth
Architecture-focused analysis with layer detection. Best for:
- Understanding system boundaries
- Preparing for refactoring
- Identifying coupling issues
Steps:
- Run
tldr archfor layer detection - Run
tldr callsfor cross-file call graph - Analyze entry/middle/leaf layers
- Detect circular dependencies
- Map architectural boundaries
Commands:
# 1. Architecture detection
tldr arch ${PATH:-src/}
# Returns: entry_layer, middle_layer, leaf_layer, circular_deps
# 2. Call graph
tldr calls ${PATH:-src/}
# Returns: edges, nodes
# 3. Impact analysis from entry point (if --entry provided)
tldr impact ${ENTRY} ${PATH:-src/} --depth 3
Output Structure:
layers:
entry: [routes.py, cli.py, main.py] # Controllers/handlers
middle: [services.py, auth.py] # Business logic
leaf: [utils.py, helpers.py] # Utilities
call_graph:
total_edges: 142
hot_paths: [process_request → validate → authorize]
circular_deps:
- [module_a, module_b] # A imports B, B imports A
boundaries:
- name: API layer
files: [src/api/*how to use exploreHow to use explore on Cursor
AI-first code editor with Composer
1Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add explore
2Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
$npx skills add https://github.com/parcadei/continuous-claude-v3 --skill exploreThe skills CLI fetches explore from GitHub repository parcadei/continuous-claude-v3 and configures it for Cursor.
3Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
◆ Which agents do you want to install to?││ ── Universal (.agents/skills) ── always included ────│ • Amp│ • Antigravity│ • Cline│ • Codex│ ●Cursor(selected)│ • Cursor│ • Windsurf4Verify installation
Confirm successful installation by checking the skill directory location:
.cursor/skills/exploreReload or restart Cursor to activate explore. Access the skill through slash commands (e.g., /explore) or your agent's skill management interface.
⚠Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
Additional Resources
List & Monetize Your Skill
Submit your Claude Code skill and start earning
GET_STARTED →Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
✓Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
✓Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
✓Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
✓Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
general reviewsRatings
4.8★★★★★68 reviews- ★★★★★Meera Torres· Dec 20, 2024
I recommend explore for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Meera Abbas· Dec 20, 2024
Solid pick for teams standardizing on skills: explore is focused, and the summary matches what you get after install.
- ★★★★★Chaitanya Patil· Dec 4, 2024
explore has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Soo Sethi· Nov 27, 2024
Registry listing for explore matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Piyush G· Nov 23, 2024
Solid pick for teams standardizing on skills: explore is focused, and the summary matches what you get after install.
- ★★★★★Hana Harris· Nov 11, 2024
Useful defaults in explore — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Soo Rao· Nov 11, 2024
explore has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Amelia Bhatia· Oct 18, 2024
explore fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Shikha Mishra· Oct 14, 2024
We added explore from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ira Ndlovu· Oct 2, 2024
explore is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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