affaan-m/ECC
Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.
npx skills add https://github.com/affaan-m/ECC --skill "skills/exa-search"Source checked Jul 28, 2026·Refresh due Oct 26, 2026
Reorganized from the pinned upstream SKILL.md
According to the pinned SKILL.md from affaan-m/ECC: Drift-prone skill. Exa MCP tool names, parameters, and account limits can change. Confirm the exposed tool surface and current Exa docs before relying on a specific search mode, category, or livecrawl behavior.
npx skills add https://github.com/affaan-m/ECC --skill "skills/exa-search"Best fit
Bring this context
Expected outputs
Key source sections
Sections are extracted automatically from the pinned SKILL.md and link back to the source.
Review the “Usage Patterns” section in the pinned source before continuing.
User needs current web information or news
Exa MCP server must be configured. Add to /.claude.json:
General web search for current information, news, or facts.
General web search for current information, news, or facts.
SkillSignal prompt templates
These prompts were written by SkillSignal from the source structure; they are not upstream text.
Task-start prompt
Confirm source fit, inputs, and outputs before acting.
Use exa-search to help me with: [specific task]. Context: [files, data, or background]. Constraints: [environment, scope, and prohibited actions]. Before acting, check the pinned SKILL.md and explain which sections apply, what inputs are still missing, and what you will deliver.
Source-guided execution
Make the Agent explicitly follow the key extracted sections.
Apply the pinned exa-search source to [task]. Pay particular attention to these source sections: “Usage Patterns”, “When to Activate”, “MCP Requirement”, “Core Tools”, “websearchexa”. Preserve the important decision at each step. Mark facts not covered by the source as “needs confirmation” instead of inventing them. Then verify the result against my acceptance criteria: [criteria].
Result-review prompt
Check omissions, permissions, and source drift before delivery.
Review the current exa-search result: (1) does it satisfy the original task; (2) were any applicable steps or limits in the pinned SKILL.md missed; (3) did it perform any unauthorized file, command, network, or data action; and (4) which conclusions remain unverified? List issues first, then fix only what the source or user authorization supports.
Output checklist
The task matches the purpose documented in the SKILL.md.
The source section “Usage Patterns” has been checked.
The source section “When to Activate” has been checked.
The source section “MCP Requirement” has been checked.
The source section “Core Tools” has been checked.
Inputs, constraints, and acceptance criteria are explicit.
Unverified facts, compatibility, and outcome claims are clearly marked.
Any file, command, network, or data action has been reviewed.
Choose a different workflow
Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.
A separate implementation from affaan-m/ECC; compare its source, maintenance signals, and permission requirements.
Open source detailCall Exa Search (POST /search) for semantic web retrieval with ranked results, filters, freshness, highlights/text, structured output, or streaming. Use when the agent needs open-ended web search, competitor discovery, news, people, or research papers and does not already have URLs. Prefer Exa MCP web_search_exa / web_search_advanced_exa when available; otherwise raw HTTP with EXA_API_KEY. NOT for known-URL extraction (use exa-contents or firecrawl) or multi-step list-building (use company-resea
A separate implementation from MoizIbnYousaf/marketing-cli; compare its source, maintenance signals, and permission requirements.
Open source detailBacklink + distribution checklist that expands a site's KD ceiling beyond what on-page work alone can earn. Use when the user mentions 'backlinks', 'off-page SEO', 'directory submissions', 'guest posts', 'outreach targets', 'link building', 'submit to directories', 'get listed in listicles', 'Product Hunt launch backlinks', or asks 'how do I get more domain authority'. Generates a prioritized, researched target list across directories, listicles, and guest-post candidates — does NOT submit anyth
A separate implementation from MoizIbnYousaf/marketing-cli; compare its source, maintenance signals, and permission requirements.
Open source detailFAQ
Drift-prone skill. Exa MCP tool names, parameters, and account limits can change. Confirm the exposed tool surface and current Exa docs before relying on a specific search mode, category, or livecrawl behavior.
The catalog detected this source-specific install command: npx skills add https://github.com/affaan-m/ECC --skill "skills/exa-search". Inspect the command and pinned source before running it.
No dedicated Agent platform is declared in the pinned source record.
Quality breakdown
Based on traceable docs and repository signals; stars are not treated as quality.
Compare before choosing
These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.
Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.
Call Exa Search (POST /search) for semantic web retrieval with ranked results, filters, freshness, highlights/text, structured output, or streaming. Use when the agent needs open-ended web search, competitor discovery, news, people, or research papers and does not already have URLs. Prefer Exa MCP web_search_exa / web_search_advanced_exa when available; otherwise raw HTTP with EXA_API_KEY. NOT for known-URL extraction (use exa-contents or firecrawl) or multi-step list-building (use company-resea
Backlink + distribution checklist that expands a site's KD ceiling beyond what on-page work alone can earn. Use when the user mentions 'backlinks', 'off-page SEO', 'directory submissions', 'guest posts', 'outreach targets', 'link building', 'submit to directories', 'get listed in listicles', 'Product Hunt launch backlinks', or asks 'how do I get more domain authority'. Generates a prioritized, researched target list across directories, listicles, and guest-post candidates — does NOT submit anyth
Use this skill when the user asks to analyze, tear down, or reverse-engineer a competitor's paid ads. Trigger for prompts like "what ads is [competitor] running", "tear down their ad strategy", "competitor ad analysis", "find ad angles we haven't tried", or "reverse-engineer their paid funnel". Do not trigger for organic/SEO competitor research or website positioning analysis.
Build an organic-traffic operating system for any site or app: a multi-phase, resumable engine that ships programmatic landing pages (alternatives, comparisons, use-cases, playbooks) on top of real keyword research. Use when the user says 'SEO machine', 'build organic traffic', 'rank on Google', 'we need traffic', 'alternatives pages', 'comparison pages', '/for/ pages', 'programmatic SEO', or 'build an SEO engine'. Distinct from `seo-audit` (one-off diagnostic) and `seo-content` (single-article
Drift-prone skill. Exa MCP tool names, parameters, and account limits can change. Confirm the exposed tool surface and current Exa docs before relying on a specific search mode, category, or livecrawl behavior.
Neural search for web content, code, companies, and people via the Exa MCP server.
Exa MCP server must be configured. Add to ~/.claude.json:
"exa-web-search": {
"command": "npx",
"args": ["-y", "exa-mcp-server"],
"env": { "EXA_API_KEY": "YOUR_EXA_API_KEY_HERE" }
}
Get an API key at exa.ai.
This repo's current Exa setup documents the tool surface exposed here: web_search_exa and get_code_context_exa.
If your Exa server exposes additional tools, verify their exact names before depending on them in docs or prompts.
General web search for current information, news, or facts.
web_search_exa(query: "latest AI developments 2026", numResults: 5)
Parameters:
| Param | Type | Default | Notes |
|---|---|---|---|
query | string | required | Search query |
numResults | number | 8 | Number of results |
type | string | auto | Search mode |
livecrawl | string | fallback | Prefer live crawling when needed |
category | string | none | Optional focus such as company or research paper |
Find code examples and documentation from GitHub, Stack Overflow, and docs sites.
get_code_context_exa(query: "Python asyncio patterns", tokensNum: 3000)
Parameters:
| Param | Type | Default | Notes |
|---|---|---|---|
query | string | required | Code or API search query |
tokensNum | number | 5000 | Content tokens (1000-50000) |
web_search_exa(query: "Node.js 22 new features", numResults: 3)
get_code_context_exa(query: "Rust error handling patterns Result type", tokensNum: 3000)
web_search_exa(query: "Vercel funding valuation 2026", numResults: 3, category: "company")
web_search_exa(query: "site:linkedin.com/in AI safety researchers Anthropic", numResults: 5)
web_search_exa(query: "WebAssembly component model status and adoption", numResults: 5)
get_code_context_exa(query: "WebAssembly component model examples", tokensNum: 4000)
web_search_exa for current information, company lookups, and broad discoverysite:, quoted phrases, and intitle: to narrow resultstokensNum (1000-2000) for focused code snippets, higher (5000+) for comprehensive contextget_code_context_exa when you need API usage or code examples rather than general web pagesdeep-research — Full research workflow using firecrawl + exa togethermarket-research — Business-oriented research with decision frameworks