sales-clearcue
Clearcue platform help — GTM signal engine for real-time buyer intent detection across LinkedIn, X, Reddit, news, jobs, podcasts, and events with signal stacking, AI qualification, dynamic audiences, MCP server for Claude/AI assistants, webhooks. Use when Clearcue signals surface too many false positives and you need to tune AI qualification sensitivity, signal stacking isn't combining signals the way you expected, you want to connect Clearcue to Claude Code via MCP for automated lead workflows, webhook notifications aren't firing on the Pro plan, CRM integration requires the Scale plan and you need workarounds on lower tiers, Audiences aren't matching the ICP you described in natural language, Researcher talking points feel generic, or you're comparing Clearcue vs Octolens vs Buska vs CatchIntent vs Trigify for intent-based prospecting. Do NOT use for social listening strategy across tools or choosing between social listening platforms (use /sales-social-listening).
What this skill does
# Clearcue 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 signals (keyword + behavior monitoring)
- B) Signal stacking (combining multiple signals for intent scoring)
- C) Audiences (ICP definition and dynamic lists)
- D) Researcher (AI profile analysis and talking points)
- E) MCP integration with Claude or other AI assistants
- F) Webhooks / CRM integration / data export
- G) Comparing Clearcue vs alternatives
- H) Something else — describe it
2. **Which plan are you on?**
- A) Starter (€79/mo, 7 signals)
- B) Pro (€199/mo, 25 signals, webhooks)
- C) Scale (€439/mo, 75 signals, CRM)
- D) Enterprise
- E) Free trial / evaluating
**Skip-ahead rule:** if the user's prompt already contains enough context, skip to Step 2.
## Step 2 — Route or answer directly
If the request maps to a strategy skill, route:
- Social listening strategy or tool comparison → `/sales-social-listening [question]`
- Buyer intent strategy or signal prioritization → `/sales-intent [question]`
- Contact enrichment beyond Clearcue → `/sales-enrich [question]`
- CRM integration strategy → `/sales-integration [question]`
- Outbound cadence or sequences → `/sales-cadence [question]`
When routing, provide the exact command: "This is a {problem domain} question — run: `/sales-{skill} {user's original question}`"
Otherwise, answer directly using the platform reference.
## Step 3 — Clearcue platform reference
**Read `references/platform-guide.md`** for the full platform reference — capabilities, pricing, data model, MCP setup, integration recipes, code 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. **Signal setup** — design signal queries, configure AI qualification sensitivity, build signal stacks
2. **MCP workflows** — connect to Claude Code, query signals, automate lead workflows
3. **Audience building** — write natural language ICP descriptions, tune precision filters
4. **Integration** — webhook setup, CRM sync patterns, HeyReach/Lemlist/Instantly pipelines
5. **Optimization** — reduce false positives, maximize signal-to-noise ratio
If you discover a gotcha, workaround, 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 integration gotchas that may be outdated.*
- **CRM integrations are Scale-only (€439/mo).** HubSpot, Salesforce, and Pipedrive native connectors require the Scale plan. On Starter/Pro, use webhooks (Pro+) or CSV export as workarounds.
- **MCP is available on request, not automatic.** Contact Clearcue support to enable MCP access. Uses personal access tokens for authentication — not OAuth.
- **Webhooks are Pro+ only.** Starter plan users can only export via CSV or use Slack notifications — no programmatic data push.
- **Company AI qualification is Pro+ only.** Starter plan signals do keyword matching only without company-level AI filtering, which means more noise.
- **Signal limits are per active signal, not per mention.** 7 signals on Starter means 7 monitoring queries, not 7 results. Each signal can return unlimited leads.
- **First signals take 24-48 hours.** Don't expect instant results after setup — Clearcue needs time to scan and index.
- **No public REST API.** MCP is the only programmatic query interface. For push-based workflows, use webhooks.
- **No Zapier/Make support.** All automation runs through webhooks, MCP, or native integrations.
## Related skills
- `/sales-social-listening` — Social listening strategy — tool comparison, monitoring setup, sentiment, competitive intel, crisis detection
- `/sales-intent` — Buying intent signals and account prioritization
- `/sales-octolens` — Octolens — developer-first social listening, MCP server, REST API
- `/sales-buska` — Buska — AI social listening for lead gen, intent scoring, MCP server, REST API
- `/sales-catchintent` — CatchIntent — AI intent detection, MCP server, webhooks, CRM integrations
- `/sales-communitytracker` — CommunityTracker — community intelligence for GTM teams, intent scoring, REST API
- `/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 signal stacking for competitor interest
**User says**: "I want to track prospects who engage with competitor content on LinkedIn AND are hiring for roles my product supports"
**Skill does**:
1. Reads platform guide for signal stacking setup
2. Explains AND/OR logic and Person vs Company mode
3. Walks through creating two signals (competitor engagement + hiring) and combining them
4. Recommends AI qualification sensitivity tuning to reduce noise
**Result**: Signal stack configured to surface high-intent prospects showing multiple buying indicators
### Example 2: Connect Clearcue to Claude Code via MCP
**User says**: "How do I set up the MCP integration so I can query Clearcue signals from Claude?"
**Skill does**:
1. Reads platform guide for MCP setup steps
2. Explains personal access token authentication
3. Shows example queries: lead retrieval, cross-analysis, ICP matching
4. Suggests workflow: Clearcue signals → Claude Code analysis → outreach draft
**Result**: MCP connected and user can query intent signals from Claude
### Example 3: Webhook pipeline to outreach tool
**User says**: "I want Clearcue signals to automatically feed into my Lemlist campaigns"
**Skill does**:
1. Confirms user is on Pro+ plan (webhook required)
2. Reads platform guide for webhook setup
3. Designs pipeline: Clearcue webhook → middleware (Clay/n8n) → Lemlist
4. Notes that direct Lemlist integration may exist via native connectors
**Result**: Automated pipeline from intent signals to outreach sequences
## Troubleshooting
### Signals returning too many false positives
**Symptom**: Dashboard full of irrelevant leads that don't match your ICP
**Cause**: AI qualification sensitivity too low, or keyword-only matching on Starter plan
**Solution**: If on Pro+, enable Company AI qualification and increase sensitivity. Add negative keywords to exclude noise. Use signal stacking to require multiple indicators before surfacing a lead. Consider upgrading from Starter if keyword-only matching is too noisy.
### MCP not connecting or returning empty results
**Symptom**: Claude Code can't reach Clearcue data or queries return nothing
**Cause**: MCP not enabled on account, or personal access token expired/misconfigured
**Solution**: Contact Clearcue support to verify MCP is enabled. Regenerate your personal access token and update Claude Code settings. Test with a simple query like "Show me recent signals from Clearcue." Verify you have active signals with results in the Clearcue dashboard first.
### Webhook notifications not arriving
**Symptom**: Configured webhooks on Pro plan but endpoint never receives data
**Cause**: Wrong endpoint URL, firewall blocking, or signal has no new results
**Solution**: Verify your endpoint URL is publicly accessible and returns 200 on POST. Check Clearcue's webhook delivery logs (if available). Verify the signal is actively generating results in the dashboard. Test with a simpler endpoint (like webhook.site) to isolate the issue.
Related in AI Agents
skill-development
IncludedComprehensive meta-skill for creating, managing, validating, auditing, and distributing Claude Code skills and slash commands (unified in v2.1.3+). Provides skill templates, creation workflows, validation patterns, audit checklists, naming conventions, YAML frontmatter guidance, progressive disclosure examples, and best practices lookup. Use when creating new skills, validating existing skills, auditing skill quality, understanding skill architecture, needing skill templates, learning about YAML frontmatter requirements, progressive disclosure patterns, tool restrictions (allowed-tools), skill composition, skill naming conventions, troubleshooting skill activation issues, creating custom slash commands, configuring command frontmatter, using command arguments ($ARGUMENTS, $1, $2), bash execution in commands, file references in commands, command namespacing, plugin commands, MCP slash commands, Skill tool configuration, or deciding between skills vs slash commands. Delegates to docs-management skill for official documentation.
reprompter
IncludedTransform messy prompts into well-structured, effective prompts — single or multi-agent. Use when: "reprompt", "reprompt this", "clean up this prompt", "structure my prompt", rough text needing XML tags and best practices, "reprompter teams", "repromptception", "run with quality", "smart run", "smart agents", multi-agent tasks, audits, parallel work, anything going to agent teams. Don't use when: simple Q&A, pure chat, immediate execution-only tasks. See "Don't Use When" section for details. Outputs: Structured XML/Markdown prompt, quality score (before/after), optional team brief + per-agent sub-prompts, agent team output files. Success criteria: Single mode quality score ≥ 7/10; Repromptception per-agent prompt quality score 8+/10; all required sections present, actionable and specific.
adaptive-compaction
IncludedAdaptive add-on policy and recovery layer that decides WHEN to compact, prune, snapshot, or fork -- replacing fixed-percent auto-compaction across Claude Code, Codex, and MCP-capable hosts. Trigger on auto-compact timing or damage: "when should I compact", "is it safe to compact now or start a fresh session", "auto-compact fires too early/mid-task", "switching to an unrelated task but the window still has space", "context rot", "answers get worse the longer the session runs", "the agent forgot the plan or my decisions after it summarized", "add a layer on top that manages context without changing the agent", raising autoCompactWindow to give the policy room, or installing/tuning a cross-tool compaction policy or PreCompact hook -- even when "compaction" is never said but the problem is context-window pressure or post-summarization memory loss. Do NOT use to summarize a conversation, build RAG, write a summarization prompt (decides WHEN not HOW), or answer max-context-length trivia.
agent-skill-creator
IncludedCreate cross-platform agent skills from workflow descriptions. Activates when users ask to create an agent, automate a repetitive workflow, create a custom skill, or need advanced agent creation. Triggers on phrases like create agent for, automate workflow, create skill for, every day I have to, daily I need to, turn process into agent, need to automate, create a cross-platform skill, validate this skill, export this skill, migrate this skill. Supports single skills, multi-agent suites, transcript processing, template-based creation, interactive configuration, cross-platform export, and spec validation.
llm-wiki
IncludedUse when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.
skill-master
IncludedAgent Skills authoring, evaluation, and optimization. Create, edit, validate, benchmark, and improve skills following the agentskills.io specification. Use when designing SKILL.md files, structuring skill folders (references, scripts, assets), ingesting external documentation into skills, running trigger evals, benchmarking skill quality, optimizing descriptions, or performing blind A/B comparisons. Keywords: agentskills.io, SKILL.md, skill authoring, eval, benchmark, trigger optimization.