/sage-competitive-analysis
Analyze competitive landscape and market positioning. Use when user says 'competitive analysis', 'positioning', 'who are our competitors', 'benchmark', 'market analysis', or any reference to competitors, market positioning, or competitive advantages.
$ npx -y skills add evolution-foundation/evo-nexus --skill sage-competitive-analysis --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/sage-competitive-analysis
Context preview
The summary Claude sees to decide when to auto-load this skill.
Analyze competitive landscape and market positioning. Use when user says 'competitive analysis', 'positioning', 'who are our competitors', 'benchmark', 'market analysis', or any reference to competitors, market positioning, or competitive advantages.
SKILL.md
sage-competitive-analysis.SKILL.mdname: sage-competitive-analysis
description: "Analyze competitive landscape and market positioning. Use when user says 'competitive analysis', 'positioning', 'who are our competitors', 'benchmark', 'market analysis', or any reference to competitors, market positioning, or competitive advantages."
Competitive Analysis — Market Positioning
Skill to analyze the competitive landscape of Evolution Foundation and identify positioning opportunities.
**Always respond in English.**
Workflow
Step 1 — Collect internal data
Fetch current Evolution metrics:
- Stars/forks from GitHub repos (`/int-github-review`)
- MRR and Stripe subscriptions (`/int-stripe`)
- Discord community size
- Number of installations/instances (if available)
Step 2 — Research competitors
Use WebSearch/WebFetch to research the main competitors in the space of:
- APIs de WhatsApp (Baileys, wa-automate, Venom, wppconnect)
- CRMs com IA para WhatsApp (Kommo, Respond.io, Wati, MessageBird)
- Plataformas de automação (ManyChat, Botpress, Landbot)
For each competitor, gather:
- Model (open source vs SaaS vs enterprise)
- Pricing
- Main features
- GitHub stars/forks (if open source)
- Strengths and weaknesses
Step 3 — Map positioning
Create positioning matrix:
| Dimension | Evolution | Concorrente A | Concorrente B | |----------|-----------|--------------|--------------| | Model | Open source + SaaS | SaaS only | Enterprise | | Price | Freemium + plans | R$X/mês | R$X/mês | | WhatsApp Unofficial | ✅ Baileys | ❌ | ❌ | | WhatsApp Cloud API | ✅ | ✅ | ✅ | | Integrated CRM | ✅ Evo CRM | ❌ | ✅ | | Community | ✅ Discord + open source | ❌ | ❌ | | IA/Agentes | ✅ Evo AI | Parcial | ❌ |
Step 4 — Identify opportunities
- Gaps that no competitor covers
- Features where Evolution leads
- Threats (fast-growing competitors)
- Moats (advantages hard to copy)
Step 5 — Save report
Save to `workspace/strategy/analyses/[C] YYYY-MM-DD-competitive.md`
Rules
- Real data — research properly, do not fabricate
- Honesty about weaknesses — do not hide where the competition is better
- Focus on actionable — every analysis should end with "what to do about it"
- Update at most every 3 months (the market does not change every week)
Read more
name: sage-competitive-analysis description: "Analyze competitive landscape and market positioning. Use when user says 'competitive analysis', 'positioning', 'who are our competitors', 'benchmark', 'market analysis', or any reference to competitors, market positioning, or competitive advantages."
Competitive Analysis — Market Positioning
Skill to analyze the competitive landscape of Evolution Foundation and identify positioning opportunities.
**Always respond in English.**
Workflow
Step 1 — Collect internal data
Fetch current Evolution metrics:
- Stars/forks from GitHub repos (`/int-github-review`)
- MRR and Stripe subscriptions (`/int-stripe`)
- Discord community size
- Number of installations/instances (if available)
Step 2 — Research competitors
Use WebSearch/WebFetch to research the main competitors in the space of:
- APIs de WhatsApp (Baileys, wa-automate, Venom, wppconnect)
- CRMs com IA para WhatsApp (Kommo, Respond.io, Wati, MessageBird)
- Plataformas de automação (ManyChat, Botpress, Landbot)
For each competitor, gather:
- Model (open source vs SaaS vs enterprise)
- Pricing
- Main features
- GitHub stars/forks (if open source)
- Strengths and weaknesses
Step 3 — Map positioning
Create positioning matrix:
| Dimension | Evolution | Concorrente A | Concorrente B | |----------|-----------|--------------|--------------| | Model | Open source + SaaS | SaaS only | Enterprise | | Price | Freemium + plans | R$X/mês | R$X/mês | | WhatsApp Unofficial | ✅ Baileys | ❌ | ❌ | | WhatsApp Cloud API | ✅ | ✅ | ✅ | | Integrated CRM | ✅ Evo CRM | ❌ | ✅ | | Community | ✅ Discord + open source | ❌ | ❌ | | IA/Agentes | ✅ Evo AI | Parcial | ❌ |
Step 4 — Identify opportunities
- Gaps that no competitor covers
- Features where Evolution leads
- Threats (fast-growing competitors)
- Moats (advantages hard to copy)
Step 5 — Save report
Save to `workspace/strategy/analyses/[C] YYYY-MM-DD-competitive.md`
Rules
- Real data — research properly, do not fabricate
- Honesty about weaknesses — do not hide where the competition is better
- Focus on actionable — every analysis should end with "what to do about it"
- Update at most every 3 months (the market does not change every week)
Other skills on evo-nexus.
- /ai-image-creator
Generate PNG images using AI (multiple models via OpenRouter including Gemini, FLUX.2, Riverflow, SeedDream, GPT-5 Image, proxied through Cloudflare AI Gateway BYOK). Also analyze/describe existing images using multimodal AI vision. Use when user asks to "generate an image",
Open skill - /create-agent
Create a new custom agent for the workspace. Guides the user through defining agent name, domain, personality, skills, model, and memory folder. Use when the user says 'create an agent', 'new agent', 'add an agent', 'I need a custom agent', or wants to create a specialized agent
Open skill - /create-command
Create a new slash command for Claude Code. Guides the user through defining the command name, what it does, and generates the markdown file in .claude/commands/. Use when the user says 'create a command', 'new command', 'add a slash command', 'I want a shortcut for', or wants
Open skill - /create-goal
Create a Mission, Project, or Goal (Mission → Project → Goal → Task hierarchy) in EvoNexus. Guides the user through picking a mission, choosing or creating a project, defining a measurable goal with metric_type and target_value. Writes to the SQLite goals tables via POST
Open skill - /create-heartbeat
Create a new heartbeat (proactive agent scheduled with a decision prompt) for EvoNexus. Guides the user through picking an agent, setting interval, wake triggers, and the decision prompt that governs when the agent acts. Writes to config/heartbeats.yaml with pydantic validation.
Open skill - /create-integration
Create a new custom integration (API/service wrapper) for the workspace. Guides the user through defining the integration's slug, display name, description, category, and required env keys. Writes .claude/skills/custom-int-{slug}/SKILL.md via POST /api/integrations/custom. Use
Open skill

