.agent/skills/skills/behavioral-modes/SKILL.md
AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.
npx skillsauth add admin-baked/bakedbot-for-brands behavioral-modesInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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
testing
--- name: executive-brief description: Produce a concise executive brief or portfolio digest for a super user or operator — use when summarizing multi-account performance, cross-org anomalies, top actions needed, or weekly business status for leadership review. Trigger phrases: "executive summary", "weekly brief", "portfolio digest", "top actions this week", "what needs my attention", "board update", "cross-account summary". version: 0.1.0 owner: platform agent_owner: pops allowed_roles: - sup
development
--- name: anomaly-to-action-memo description: Interpret a detected anomaly or signal and produce a decision-ready action memo — use when an alert, metric deviation, or operational signal needs to be turned into a prioritized recommendation with evidence, owner, and next step. Trigger phrases: "what does this anomaly mean", "something looks off", "explain this alert", "revenue is down", "traffic dropped", "flag this for review", "what should we do about this". version: 0.1.0 owner: ops-intelligen
testing
--- name: brand-voice description: Apply BakedBot brand voice standards to any customer-facing content — use when generating or reviewing copy that must match a dispensary or brand's approved tone, language patterns, and messaging constraints. Trigger phrases: "does this match our voice", "write in our brand voice", "on-brand copy", "brand guidelines", "tone check". version: 0.1.0 owner: platform agent_owner: craig allowed_roles: - super_user - dispensary_operator - brand_operator outputs:
testing
--- name: sell-through-partner-analysis description: Analyze which retail dispensary partners are selling through a grower's products effectively, identify top performers and laggards, and produce a prioritized partner action plan. Use when a grower wants to know where their products move fastest, which partners need attention, and where to focus wholesale sales effort. Trigger phrases: "which partners are selling our product", "sell-through analysis", "partner performance", "where is inventory