ad-spend-optimizer
Analyze paid advertising performance across channels and recommend budget reallocation to maximize ROAS and minimize CAC. Useโฆ
Assess deal health and identify at-risk opportunities using engagement signals, stakeholder mapping, and velocity analysis
Claude Code
$ npx -y skills add guia-matthieu/clawfu-skills --skill deal-risk-scoring --agent claude-code
Codex
$ npx skills add guia-matthieu/clawfu-skills --skill deal-risk-scoring -a codex -y
Cursor
$ npx skills add guia-matthieu/clawfu-skills --skill deal-risk-scoring -a cursor -y
Gemini CLI
$ npx skills add guia-matthieu/clawfu-skills --skill deal-risk-scoring -a gemini-cli -y
GitHub Copilot
$ npx skills add guia-matthieu/clawfu-skills --skill deal-risk-scoring -a github-copilot -y
OpenCode
$ npx skills add guia-matthieu/clawfu-skills --skill deal-risk-scoring -a opencode -y
Windsurf
$ npx skills add guia-matthieu/clawfu-skills --skill deal-risk-scoring -a windsurf -y
name: deal-risk-scoring description: Assess deal health and identify at-risk opportunities using engagement signals, stakeholder mapping, and velocity analysis license: MIT metadata: author: ClawFu version: 1.0.0 mcp-server: "@clawfu/mcp-skills"
> Evaluate individual deal health through multi-signal analysis to prioritize coaching, intervention, and resource allocation.
Based on **Gong's Deal Intelligence research** and **Winning by Design's Revenue Architecture**, analyzing:
| Claude Does | You Decide | |-------------|------------| | Scores deals on risk factors | Which deals to save vs. let go | | Identifies missing elements | Resource allocation priorities | | Suggests intervention actions | Executive sponsor assignments | | Tracks velocity trends | Final stage/probability updates | | Flags competitive threats | Win strategy adjustments |
1. **Multi-signal analysis** - Engagement, stakeholders, timeline, competition 2. **Risk scoring** - Green/Yellow/Red health status with reasons 3. **Gap identification** - Missing stakeholders, stalled stages, unclear next steps 4. **Action recommendations** - Specific interventions to reduce risk 5. **Trend tracking** - Velocity changes over time
Assess the risk for this deal: Deal: [Company Name] Value: $X Stage: [Current Stage] Close Date: [Target Date] Days in Stage: X Recent Activity: - [List emails, meetings, calls with dates] Stakeholders: - [Name, Title, Role in deal, Engagement level] Competition: [Known competitors] Champion: [Name and strength assessment]
| Criteria | Points | |----------|--------| | Meeting in last 7 days | +10 | | Email response in last 3 days | +5 | | Multiple contacts engaged | +5 | | Prospect initiating contact | +5 | | No activity 14+ days | -15 |
| Criteria | Points | |----------|--------| | Economic Buyer identified | +10 | | Champion confirmed | +10 | | Technical evaluator engaged | +5 | | Only 1 contact | -10 | | No C-level access | -5 |
| Criteria | Points | |----------|--------| | Clear next step scheduled | +10 | | Mutual action plan agreed | +10 | | Decision timeline confirmed | +5 | | Close date pushed 2+ times | -15 | | No defined process | -10 |
| Criteria | Points | |----------|--------| | No competition | +15 | | Differentiation clear | +10 | | Incumbent advantage | -10 | | Price pressure | -5 | | Unknown competitive status | -5 |
| Score | Health | Action | |-------|--------|--------| | 75-100 | ๐ข Green | Monitor, standard process | | 50-74 | ๐ก Yellow | Intervention needed | | 25-49 | ๐ Orange | Escalate, major action | | 0-24 | ๐ด Red | Rescue or disqualify |
**Input:**
Deal: TechCorp Global Value: $250K ARR Stage: 3 - Proposal Close Date: Feb 28 (pushed from Jan 31) Days in Stage: 28 Recent Activity: - Jan 15: Proposal sent to John (Dir of Ops) - Jan 22: Follow-up email (no response) - Jan 29: Called, voicemail - Feb 5: Email asking for update (no response) Stakeholders: - John Smith, Director of Ops, Champion (was engaged) - No other contacts Competition: Competitor X mentioned in discovery Champion: John - went silent
**Output:**
## Deal Risk Assessment: TechCorp Global ### Overall Score: 28/100 ๐ด RED - HIGH RISK ### Score Breakdown | Factor | Score | Issues | |--------|-------|--------| | Engagement | 0/25 | No response in 14+ days | | Stakeholders | 5/25 | Single-threaded, no EB | | Process | 5/25 | Pushed once, no clear next step | | Competition | 18/25 | Competitor known but not blocking | | **Total** | **28/100** | | ### Critical Risks 1. **๐ด Champion Gone Dark** - John hasn't responded in 14 days - Possible: Left company, lost internal support, chose competitor 2. **๐ด Single-Threaded** - No other relationships - If John is out, deal is dead 3. **๐ No Economic Buyer** - Never met decision maker - John may not have authority to close ### Recommended Actions **This Week:** 1. Research John on LinkedIn - still at company? 2. Find another contact via LinkedIn/referral 3. Send "breakup email" to force response 4. Check if Competitor X is in active eval **If No Response by Friday:** - Move to Stage 2 or Closed-Lost - Free up forecast slot ### Red Flags to Watch - If proposal was forwarded to competitor - If budget was reallocated - If project was deprioritized ### Save Probability: 25% Without new contact access, this deal is likely lost.
**Input:**
Deal: GrowthCo Inc Value: $85K ARR Stage: 4 - Negotiation Close Date: Feb 15 Days in Stage: 7 Recent Activity: - Feb 1: Demo to full team (8 attendees) - Feb 3: Pricing discussion with CFO - Feb 5: Legal reviewing MSA - Feb 7: Call scheduled for Feb 10 Stakeholders: - Maria Lopez, VP Sales (Champion, highly engaged) - Tom Chen, CFO (Economic Buyer, positive) - Legal team (reviewing contract) - 8 end users attended demo Competition: None identified Champion: Maria - actively selling internally
**Output:**
## Deal Risk Assessment: GrowthCo Inc ### Overall Score: 88/100 ๐ข GREEN - HEALTHY ### Score Breakdown | Factor | Score | Status | |--------|-------|--------| | Engagement | 25/25 | Daily activity, prospect-
175 expert marketing methodologies for AI agents. Free. Open source. MIT licensed. Dunford on positioning. Schwartz on copywriting. Cialdini on persuasion. Ogilvy on advertising. Hormozi on offers. Voss on negotiation.
Analyze paid advertising performance across channels and recommend budget reallocation to maximize ROAS and minimize CAC. Useโฆ
Build profitable Google Ads campaigns by applying Perry Marshall's 80/20 principles to paid search optimization Use when:โฆ
Apply 2026's top graphic design trends to any creative brief. Based on Kittl ร Savee's 2026 Design Trends Report (10 trends + 2โฆ
Transformez une image 2D en modรจle 3D animรฉ prรชt pour le web ou le jeu en moins de 30 minutes, en utilisant le workflow Dilumโฆ
Art direction framework for generating warm minimalist photography via AI image generators (Flux, Midjourney, DALL-E). Separatesโฆ
Visual design direction framework organized by emotional intent (Warm/Cold x Active/Calm). The first design reference system thatโฆ
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also useโฆ
Comprehensive SEO analysis for any website or business type. Full site audits, single-page analysis, technical SEO (crawlability,โฆ
Turn the current project website into a short, polished, shareable launch video using Hyperframes. Use when someone says "/brag",โฆ
Full website GEO+SEO audit with parallel subagent delegation. Orchestrates a comprehensive Generative Engine Optimization auditโฆ