Route multi-step marketing, product, or business challenges to the right sequence of ClawFu skills. Recommends which frameworks to combine, in what order, with handoff outputs between steps. Use when: planning a product launch end-to-end, combining positioning + offers + launch skills, running a customer-validation sprint, creating a content strategy pipeline, deciding which skills to chain for a complex project, or orchestrating a sales-enablement playbook.
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Route multi-step challenges to the right sequence of ClawFu skills — recommending which frameworks to combine, in what order, with explicit handoff outputs between steps.
| Aspect | Details |
|---|---|
| Source | ClawFu Skills orchestration system |
| Core Principle | The right frameworks in the right order compound insights — sequencing matters more than any single skill |
| Sequencing Logic | Foundation → Analysis → Strategy → Creation → Validation → Execution |
| Claude Does | You Decide |
|---|---|
| Recommends skill sequences for a challenge | Which skills to skip or substitute |
| Defines input/output handoffs between steps | Final strategic direction at each step |
| Creates custom workflows from the skill library | Resource allocation and timeline |
| Identifies when to branch or loop back | Go/no-go decisions at validation gates |
Classify the challenge type and context:
| Factor | Options |
|---|---|
| Type | Launch · Validation · Content · Positioning · Decision · Sales · Video |
| Stage | Idea · Early · Growth · Mature |
| Resources | Solo · Small team · Large team |
| Timeline | Urgent · Normal · Flexible |
Check pre-built workflows in WORKFLOWS.md. If none fits, build a custom sequence following this phase order:
| Phase | Skill Types | Purpose |
|---|---|---|
| 1. Foundation | first-principles, JTBD, audience-research | Understand reality |
| 2. Analysis | competitive-analysis, inversion, pre-mortem | Identify challenges |
| 3. Strategy | positioning, category-design, personas | Make strategic choices |
| 4. Creation | offers, copy, content | Build the deliverable |
| 5. Validation | six-thinking-hats, pricing-validation | Stress test |
| 6. Execution | launch-formula, sales-pitch | Go to market |
For each step in the sequence:
Validation checkpoint: Before moving to the next skill, confirm the output includes the specific artifacts the next step needs. If not, iterate or add an intermediate step.
After completing the sequence:
Challenge: Launching an AI writing tool for marketers in a competitive market (Jasper, Copy.ai)
Recommended sequence (modified Product Launch):
1. competitive-analysis → Map landscape (Jasper, Copy.ai, ChatGPT)
2. first-principles → Challenge "AI writing tool" category assumptions
3. persona-generator → Define specific segments (not just "marketers")
4. category-design → Can you own a new category?
5. positioning → Differentiate using competitive gaps
6. grand-slam-offers → Create irresistible offer structure
7. pre-mortem → What could kill the launch?
8. launch-formula → Sequence the mechanics
Handoff example: Step 3 (personas) feeds into Step 5 (positioning) — persona pain points define which competitive alternatives matter most.
See WORKFLOWS.md for all pre-built workflows (Product Launch, Customer Validation, Content Strategy, Competitive Positioning, Sales Enablement, Decision Making, AI Video Production).
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Measure and optimize growth using the AARRR (Pirate Metrics) framework with stage-specific KPIs and funnel analysis
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Calculate A/B test statistical significance. Use when: determining if test results are significant; calculating required sample size; estimating test duration; analyzing conversion experiments; making data-driven decisions
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Assess customer account health using product usage, support sentiment, payment status, and relationship signals
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Analyze paid advertising performance across channels and recommend budget reallocation to maximize ROAS and minimize CAC. Use when: planning quarterly ad budget allocation, diagnosing underperforming ad channels, deciding whether to scale spend on a channel, calculating marginal ROI across Google Ads, Meta, LinkedIn, or TikTok, rebalancing media mix after performance shifts, or setting up a test-and-scale framework for new channels.
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Use when testing skills, commands, or agents for quality. Use after creating new skills, before deploying agents, or when debugging inconsistent agent behavior. Triggers on "evaluate", "test quality", "is this skill working", or QA of AI workflows.
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Use when analyzing server logs to understand how AI crawlers (GPTBot, ClaudeBot, PerplexityBot) interact with your site. Use when optimizing content placement for LLM retrieval, diagnosing why AI search isn't citing your content, or auditing crawl patterns to find optimization gaps.
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