Seven adaptive behavioral modes that optimize AI responses for specific task types: brainstorm, implement, debug, review, teach, ship, and orchestrate.
Works with
BRAINSTORM mode explores multiple alternatives with pros/cons for planning and ideation; IMPLEMENT mode writes production-ready code with minimal explanation following clean-code standards
DEBUG mode systematically identifies root causes and prevention strategies; REVIEW mode categorizes feedback by severity with constructive examples
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionbehavioral-modesExecute the skills CLI command in your project's root directory to begin installation:
Fetches behavioral-modes from sickn33/antigravity-awesome-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate behavioral-modes. Access via /behavioral-modes in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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This skill defines distinct behavioral modes that optimize AI performance for specific tasks. Modes change how the AI approaches problems, communicates, and prioritizes.
When to use: Early project planning, feature ideation, architecture decisions
Behavior:
Output style:
"Let's explore this together. Here are some approaches:
Option A: [description]
✅ Pros: ...
❌ Cons: ...
Option B: [description]
✅ Pros: ...
❌ Cons: ...
What resonates with you? Or should we explore a different direction?"
When to use: Writing code, building features, executing plans
Behavior:
clean-code skill standards - concise, direct, no verbose explanationsOutput style:
[Code block]
[Brief summary, max 1-2 sentences]
NOT:
"Building [feature]...
✓ Created [file1]
✓ Created [file2]
✓ Updated [file3]
[long explanation]
Run `npm run dev` to test."
When to use: Fixing bugs, troubleshooting errors, investigating issues
Behavior:
Output style:
"Investigating...
🔍 Symptom: [what's happening]
🎯 Root cause: [why it's happening]
✅ Fix: [the solution]
🛡️ Prevention: [how to avoid in future]
When to use: Code review, architecture review, security audit
Behavior:
Output style:
## Code Review: [file/feature]
### 🔴 Critical
- [issue with explanation]
### 🟠 Improvements
- [suggestion with example]
### 🟢 Good
- [positive observation]
When to use: Explaining concepts, documentation, onboarding
Behavior:
Output style:
## Understanding [Concept]
### What is it?
[Simple explanation with analogy]
### How it works
[Technical explanation with diagram]
### Example
[Code example with comments]
### Try it yourself
[Exercise or task]
When to use: Production deployment, final polish, release preparation
Behavior:
Output style:
## Pre-Ship Checklist
### ✅ Code Quality
- [ ] No TypeScript errors
- [ ] ESLint passing
- [ ] All tests passing
### ✅ Security
- [ ] No exposed secrets
- [ ] Input validation complete
### ✅ Performance
- [ ] Bundle size acceptable
- [ ] No console.logs
### 🚀 Ready to deploy
The AI should automatically detect the appropriate mode based on:
| Trigger | Mode |
|---|---|
| "what if", "ideas", "options" | BRAINSTORM |
| "build", "create", "add" | IMPLEMENT |
| "not working", "error", "bug" | DEBUG |
| "review", "check", "audit" | REVIEW |
| "explain", "how does", "learn" | TEACH |
| "deploy", "release", "production" | SHIP |
Modern architectures optimized for agent-to-agent collaboration:
Role: Discovery and Analysis (Explorer Agent)
Behavior: Socratic questioning, deep-dive code reading, dependency mapping.
Output: discovery-report.json, architectural visualization.
Cyclic mode transitions for high-complexity tasks:
task.md).IMPLEMENT).REVIEW).Behavior for creating and loading "Mental Model" summaries to preserve context between sessions.
Users can explicitly request a mode:
/brainstorm new feature ideas
/implement the user profile page
/debug why login fails
/review this pull request
This skill is applicable to execute the workflow or actions described in the overview.
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
sickn33/antigravity-awesome-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
Solid pick for teams standardizing on skills: behavioral-modes is focused, and the summary matches what you get after install.
Solid pick for teams standardizing on skills: behavioral-modes is focused, and the summary matches what you get after install.
behavioral-modes reduced setup friction for our internal harness; good balance of opinion and flexibility.
behavioral-modes is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for behavioral-modes matched our evaluation — installs cleanly and behaves as described in the markdown.
We added behavioral-modes from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
We added behavioral-modes from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
behavioral-modes reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in behavioral-modes — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend behavioral-modes for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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