* feat: add customer-research skill (#186)
* feat: add customer-research skill (#185)
Adds a new skill for conducting and synthesizing customer research —
covering analysis of existing assets (transcripts, surveys, support
tickets, NPS) and digital watering hole research (Reddit, G2, forums,
communities, review sites). Includes persona generation framework,
JTBD extraction, VOC quote banking, and competitive intel from reviews.
Also adds a detailed source-guides reference with per-platform playbooks
(Reddit operators, G2 review tiers, LinkedIn job posting mining, etc.)
and 10 evals covering the main trigger scenarios.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix: address Codex review of customer-research skill
- Fix evals.json schema to match repo convention (skill_name wrapper,
integer IDs, expected_output, files fields)
- Add product-marketing-context.md assertion to all evals
- Add 2 new evals: B2C drop-off scenario and zero-research bootstrap
- Collapse 'Where to Look' in SKILL.md to a decision table; detail
lives in source-guides.md
- Add Research Quality Guardrails section (confidence labels,
recency window, sample bias, minimum viable sample)
- Add Related Skills section cross-linking 7 downstream skills
- Expand source-guides.md with full B2C section (app stores,
TikTok/Instagram, consumer Reddit, Discord)
- Add Source Reliability and Confidence Scoring reference guide
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix: correct alphabetical ordering of customer-research in manifest and README
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* docs: add customer-research to skills relationship diagram
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* docs: move customer-research into Strategy column in diagram
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
* feat: Resend CLI docs + Firehose integration (#188)
* feat: add Resend CLI docs and Firehose integration
- resend.md: update CLI availability (now official), add CLI install,
setup, and common commands section
- firehose.md: new integration guide for real-time web content streaming
API — query syntax, stream setup, marketing use cases (brand monitoring,
competitive intel, lead triggers, PR/link building)
- REGISTRY.md: add firehose under Competitive Intelligence
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* docs: document Claude Code dynamic content injection pattern
Add Claude Code-specific enhancement section to AGENTS.md explaining
the !`command` syntax for injecting shell output into skills at
invocation time. Marked as Claude Code-only to preserve cross-agent
compatibility of SKILL.md files.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* Revert "docs: document Claude Code dynamic content injection pattern"
This reverts commit 8e1ce7b363.
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
* docs: document Claude Code dynamic content injection pattern (#189)
Add Claude Code-specific enhancement section to AGENTS.md explaining
the !`command` syntax for injecting shell output into skills at
invocation time. Marked as Claude Code-only to preserve cross-agent
compatibility of SKILL.md files.
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
* feat: add Introw PRM as partner ecosystem integration (#193)
Great contribution — clean integration guide with solid MCP tool coverage, and the cross-references into referral-program, revops, launch-strategy, and sales-enablement are well-placed. Thanks!
* feat: add Nitrosend integration for AI-native email sequencing
Adds Nitrosend as a tool option for teams building email sequences via
AI agents — no dashboard required, full MCP control.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Tibo <72124096+CoopahG@users.noreply.github.com>
3.7 KiB
Firehose
Real-time web data streaming API that monitors web pages and delivers matching content instantly via server-sent events (SSE). Built for competitive intelligence, brand monitoring, and news tracking without polling.
Capabilities
| Integration | Available | Notes |
|---|---|---|
| API | ✓ | RESTful endpoints for managing rules + SSE for streaming |
| MCP | - | Not available |
| CLI | - | Not available |
| SDK | - | Native AI agent skill available |
Authentication
- Type: API Key
- Currently: Free beta — no credit card required
- Get access: Sign up at firehose.com
Core Concepts
Rules — Filters that define what content to match. Uses Lucene query syntax.
Stream — A server-sent event (SSE) connection that delivers matching content in real-time as it's published on the web.
Instead of polling an endpoint on a schedule, you define rules once and receive a continuous stream of matches as they happen.
Query Syntax (Lucene)
# Exact phrase
"your brand name"
# Field-specific
title:tesla
domain:reuters.com
domain:techcrunch.com
# Boolean operators
"Series A" AND (SaaS OR software)
competitor OR "competitor name" NOT "your company"
# Wildcard
market* AND funding
# Language filter
language:en
# Date range
publish_time:[2026-01-01 TO 2026-03-18]
# ML-classified categories
category:finance
category:technology
Common Agent Operations
Create a monitoring rule
POST https://api.firehose.com/rules
{
"query": "\"your brand name\" OR \"your product name\"",
"label": "brand-mentions"
}
List active rules
GET https://api.firehose.com/rules
Delete a rule
DELETE https://api.firehose.com/rules/{rule_id}
Connect to the stream
GET https://api.firehose.com/stream
Authorization: Bearer {api_key}
# Returns server-sent events:
# data: {"url": "...", "title": "...", "publish_time": "...", "matched_rule": "..."}
Example: Node.js stream consumer
import EventSource from 'eventsource';
const stream = new EventSource('https://api.firehose.com/stream', {
headers: { Authorization: `Bearer ${process.env.FIREHOSE_API_KEY}` }
});
stream.onmessage = (event) => {
const item = JSON.parse(event.data);
console.log(`[${item.matched_rule}] ${item.title} — ${item.url}`);
};
Use Cases for Marketing
Competitive intelligence
Monitor competitors' press coverage, product announcements, and funding news in real-time.
query: "CompetitorName" AND (launch OR funding OR "product update" OR partnership)
Brand monitoring
Track mentions of your brand across news and web content.
query: "YourBrand" OR "YourProductName" NOT site:yourdomain.com
Category / market news
Stay current on your market without manually checking sources.
query: category:technology AND ("no-code" OR "low-code") AND funding
domain:techcrunch.com OR domain:venturebeat.com
Lead trigger monitoring
Track signals that indicate a prospect is ready to buy (hiring, funding, tool mentions).
query: ("hiring" OR "we're growing") AND "RevOps" AND (HubSpot OR Salesforce)
PR and link building
Get alerted when publications cover topics in your space, enabling timely outreach.
query: "best [category] tools" OR "top [category] software" AND publish_time:[now-7d TO now]
When to Use
- Real-time competitive intelligence (faster than Google Alerts)
- Brand mention monitoring across news and web
- Market signal tracking for sales prospecting
- Automated content curation pipelines
- Trigger-based workflows (new mention → Slack alert, CRM update, etc.)
Relevant Skills
- competitor-alternatives
- customer-research
- content-strategy
- cold-email
- marketing-ideas