sales-buska
Buska platform help — AI social listening for lead generation across 30+ platforms (Reddit, X, LinkedIn, HN, Product Hunt, YouTube, G2) with buying intent scoring (0-100), ICP matching, AI Reply Studio, Prospect Finder enrichment, REST API, MCP server, webhooks. Use when Buska alerts return too many irrelevant mentions and you need to tighten keyword or ICP filters, intent scores don't match the buying signals you see, AI Reply Studio drafts sound generic or get flagged in communities, keyword quota fills up before month end, you want to push Buska leads to your CRM or outreach tool via API or webhooks, Prospect Finder enrichment isn't returning useful contact data, you need to connect Buska to Claude or AI agents via MCP, or you're comparing Buska vs Octolens vs Brand24 vs CatchIntent for social listening lead gen. Do NOT use for social listening strategy across tools or choosing between social listening platforms (use /sales-social-listening).
What this skill does
# Buska Platform Help
## Step 1 — Gather context
If `references/learnings.md` exists, read it first for accumulated platform knowledge.
Ask the user:
1. **What do you need help with?**
- A) Setting up keyword monitoring (choosing keywords, platforms, ICP)
- B) Reducing noise / too many irrelevant leads
- C) Tuning intent scoring or ICP matching
- D) Using the Reply Studio for outreach
- E) Connecting Buska to CRM/outreach tools via API or webhooks
- F) Using the MCP server with AI agents
- G) Prospect Finder enrichment
- H) Plan limits and upgrade decision
- I) Something else — describe it
2. **Which plan are you on?**
- A) Starter ($49/mo — 3 keywords, 50 leads/week, 16+ sources)
- B) Growth ($99/mo — 10 keywords, 150 leads/week, API 500 req/mo, webhooks, Reply Studio)
- C) Scale ($249/mo — 30 keywords, unlimited leads, full API, analytics)
- D) Agency (custom — multi-brand)
- E) Not sure / haven't signed up yet
3. **What's your goal?**
- A) Lead generation (find people looking for solutions like mine)
- B) Brand monitoring (track what people say about us)
- C) Competitor monitoring (track competitor mentions and weaknesses)
- D) Market research (understand trends and pain points)
**If the user's request already provides context, skip to Step 2.**
## Step 2 — Route or answer directly
- Social listening strategy or tool comparison → `/sales-social-listening [question]`
- Developer-first monitoring with MCP on all plans → `/sales-octolens [question]`
- Intent detection across Reddit, X, HN, Bluesky with CRM push → `/sales-catchintent [question]`
- Multi-platform lead gen with auto-pilot mode → `/sales-prems [question]`
- Reddit-only monitoring on a budget → `/sales-f5bot [question]` or `/sales-kwatch [question]`
- Audience intelligence (where audiences spend attention) → `/sales-sparktoro [question]`
Otherwise, answer directly from the platform reference below.
## Step 3 — Buska platform reference
**Read `references/platform-guide.md`** for the full platform reference — capabilities, pricing, data model, integration recipes, and workflow examples.
Answer the user's question using only the relevant section. Don't dump the full reference.
## Step 4 — Actionable guidance
Focus on the user's specific situation:
1. **Noise reduction** — tighten ICP profiles with industry/company size/role filters, add negative keywords, raise the intent score threshold to 70+, focus on "active demand" and "pain signal" intent types
2. **Quota management** — consolidate overlapping keywords, disable low-converting keywords, use broader terms with ICP filters instead of many narrow keywords
3. **Reply quality** — switch tone presets (Peer for communities, Expert for technical threads, Thought Leader for LinkedIn), customize the AI context with your product value props, always review before posting
4. **Integration** — webhooks and API require Growth ($99/mo). For cheaper API access, consider Octolens (API on all plans from $25/mo) or RedShip ($19/mo)
5. **MCP setup** — connect as MCP server so Claude/Cursor can query leads and trigger actions autonomously
If you discover a gotcha or tip not covered in `references/learnings.md`, append it there.
## Gotchas
*Best-effort from research — review these, especially items about plan-gated features and pricing that may change.*
- **API and webhooks are Growth-only ($99/mo).** Starter users have no programmatic access. If you need API at a lower price, Octolens (from $25/mo) or RedShip ($19/mo) both offer REST APIs on all plans.
- **50 leads/week cap on Starter.** If your keywords are broad, you'll hit this quickly. Growth bumps to 150/week, Scale is unlimited.
- **Reply Studio needs human review.** AI-generated replies can sound promotional. Always edit tone for the specific community norms — what works on LinkedIn won't work on Reddit.
- **ICP matching only works if you define it well.** Vague ICPs ("SaaS companies") return noise. Use specific industry, company size, role, and pain-point filters.
- **Prospect Finder is limited on Growth (20 searches/mo).** Scale gives 250/mo. If enrichment is your primary need, consider Clay or Apollo for higher volume.
- **No native Zapier app.** Use webhooks to trigger Zapier/Make/n8n workflows. The webhook sends a JSON POST on each qualified lead.
- **30+ platforms varies by plan.** Starter covers 16+ sources, Growth 28+, Scale 33+. Some platforms (like Telegram, Discord) may be gated to higher tiers.
- **Intent scoring is AI-based and imperfect.** Low scores (under 30) are usually noise, but mid-range (30-70) needs manual review. Don't auto-discard everything under 70.
## Related skills
- `/sales-social-listening` — Social listening strategy across all platforms — tool comparison, monitoring setup, competitive intel, crisis detection
- `/sales-octolens` — Octolens — developer-first social listening with API/MCP on all plans from $25/mo
- `/sales-catchintent` — CatchIntent — AI intent detection across Reddit, X, HN, Bluesky with CRM push, MCP server, webhooks
- `/sales-prems` — Prems AI — multi-platform lead generation with AI intent scoring, auto-pilot, webhooks
- `/sales-forumscout` — ForumScout — AI social listening across forums, Reddit, X, LinkedIn with natural language AI filtering, API/MCP
- `/sales-brand24` — Brand24 — affordable social listening with Storm Alerts and MCP server
- `/sales-sparktoro` — SparkToro — audience intelligence, channel discovery, persona development
- `/sales-do` — Not sure which skill to use? The router matches any sales objective to the right skill. Install: `npx skills add sales-skills/sales --skill sales-do`
## Examples
### Example 1: Set up lead generation monitoring for a SaaS product
**User says**: "I sell a project management tool and want to find people on Reddit and LinkedIn asking for recommendations"
**Skill does**:
1. Reads platform guide for keyword strategy and ICP setup
2. Creates keywords: "project management tool", "looking for PM software", "Asana alternative", competitor names
3. Sets ICP: SaaS/tech industry, 10-500 employees, product/engineering roles
4. Configures intent filter to prioritize "active demand" and "pain signal" types
5. Sets up Slack notifications for high-intent leads (score 70+)
**Result**: Lead pipeline generating qualified prospects from social conversations
### Example 2: Push Buska leads to HubSpot CRM via webhook
**User says**: "How do I automatically create HubSpot contacts from Buska leads?"
**Skill does**:
1. Confirms Growth plan required for webhooks
2. Reads platform guide for webhook payload format
3. Sets up webhook URL pointing to a Make/n8n workflow
4. Maps Buska lead fields (name, platform, mention URL, intent score) to HubSpot contact properties
5. Adds a filter: only push leads with intent score > 60
**Result**: Automated lead pipeline from social mentions to CRM
### Example 3: AI replies getting flagged on Reddit
**User says**: "My Buska Reply Studio responses keep getting downvoted on Reddit — what am I doing wrong?"
**Skill does**:
1. Explains Reddit community norms: no overt self-promotion, lead with value
2. Suggests switching tone to "Peer" instead of "Expert" or "Thought Leader"
3. Recommends customizing the AI context to focus on solving the user's problem first, mentioning product only as a secondary note
4. Advises checking subreddit rules for self-promotion policies before posting
5. Suggests using Reply Studio drafts as starting points, not final copies
**Result**: Improved reply quality that gets engagement instead of downvotes
## Troubleshooting
### Intent scores seem inaccurate
**Symptom**: Mentions scored 80+ are clearly not buying signals, or real buying intent gets scored low
**Cause**: ICP definition is too broad, or keywords match irrelevant contexts
**Solution**: Tighten ICP profiles with specific role, industry, and company size filters. Add negative keywords for common false-positive patterns. Review theRelated in Image & Video
watch
IncludedWatch a video (URL or local path). Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls the transcript from captions (or Whisper API fallback), and hands the result to Claude so it can answer questions about what's in the video.
physical-ai-defect-image-generation
IncludedUse when the user wants to orchestrate defect image generation, run associated setup, or handle outputs on OSMO. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and AnomalyGen to create initial PCBA datasets. The Day 1 path performs inference and labeling on real images. This skill helps with first-time asset setup, creation of finetuning checkpoints, and configuring deployment. Trigger keywords: defect image generation, dig workflow, dig pipeline, defect image detection workflow, aoi pipeline, aoi anomalygen, usd2roi anomalygen, day 0 pcba, day 1 pcba, day 1 real-photo alignment, day 1 manual roi, metal surface anomaly, glass defect, anomalygen finetune, setup_pcb, setup_metal, setup_glass, setup_pretrained, dig setup, dig datasets, dig pretrained checkpoint, dig image-edit endpoint.
accelint-react-best-practices
IncludedReact performance optimization and best practices. ALWAYS use this skill when working with any React code - writing components, hooks, JSX; refactoring; optimizing re-renders, memoization, state management; reviewing for performance; fixing hydration mismatches; debugging infinite re-renders, stale closures, input focus loss, animations restarting; preventing remounting; implementing transitions, lazy initialization, effect dependencies. Even simple React tasks benefit from these patterns. Covers React 19+ (useEffectEvent, Activity, ref props). Triggers - useEffect, useState, useMemo, useCallback, memo, inline components, nested components, components inside components, re-render, performance, hydration, SSR, Next.js, useDeferredValue, combined hooks.
elevenlabs-agents
IncludedBuild conversational AI voice agents with ElevenLabs Platform using React, JavaScript, React Native, or Swift SDKs. Configure agents, tools (client/server/MCP), RAG knowledge bases, multi-voice, and Scribe real-time STT. Use when: building voice chat interfaces, implementing AI phone agents with Twilio, configuring agent workflows or tools, adding RAG knowledge bases, testing with CLI "agents as code", or troubleshooting deprecated @11labs packages, Android audio cutoff, CSP violations, dynamic variables, or WebRTC config. Keywords: ElevenLabs Agents, ElevenLabs voice agents, AI voice agents, conversational AI, @elevenlabs/react, @elevenlabs/client, @elevenlabs/react-native, @elevenlabs/elevenlabs-js, @elevenlabs/agents-cli, elevenlabs SDK, voice AI, TTS, text-to-speech, ASR, speech recognition, turn-taking model, WebRTC voice, WebSocket voice, ElevenLabs conversation, agent system prompt, agent tools, agent knowledge base, RAG voice agents, multi-voice agents, pronunciation dictionary, voice speed control, elevenlabs scribe, @11labs deprecated, Android audio cutoff, CSP violation elevenlabs, dynamic variables elevenlabs, case-sensitive tool names, webhook authentication
humanizer
IncludedHumanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 28 pattern detectors, 560+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
generating-mermaid-diagrams
IncludedSalesforce architecture diagrams using Mermaid with ASCII fallback. Use this skill when generating text-based diagrams for Salesforce architecture, OAuth flows, ERDs, integration sequences, or Agentforce structure. TRIGGER when: user says "diagram", "visualize", "ERD", or asks for sequence diagrams, flowcharts, class diagrams, or architecture visualizations in Mermaid. DO NOT TRIGGER when: user wants PNG/SVG image output (use generating-visual-diagrams), or asks about non-Salesforce systems.