Local RAG Search
nkapila6/mcp-local-rag
Efficiently perform web searches using the mcp-local-rag server with semantic similarity ranking.
Runs multi-source web research through the firecrawl and exa MCP tools and writes a cited report with source attribution.
Install Deep Research with Firecrawl and Exa
$ npx skills add affaan-m/ECC --skill deep-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install affaan-m/ECC deep-research --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .claude/skills && cp -r skills-src/docs/ja-JP/skills/deep-research .claude/skills/deep-research && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "deep-research" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/ja-JP/skills/deep-research into .claude/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/affaan-m/ECC/tree/main/docs/ja-JP/skills/deep-researchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add affaan-m/ECC --skill deep-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install affaan-m/ECC deep-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .agents/skills && cp -r skills-src/docs/ja-JP/skills/deep-research .agents/skills/deep-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deep-research" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/ja-JP/skills/deep-research into .agents/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add affaan-m/ECC --skill deep-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install affaan-m/ECC deep-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/docs/ja-JP/skills/deep-research .cursor/skills/deep-research && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "deep-research" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/ja-JP/skills/deep-research into .cursor/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/affaan-m/ECC.git --path docs/ja-JP/skills/deep-research--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add affaan-m/ECC --skill deep-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install affaan-m/ECC deep-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/docs/ja-JP/skills/deep-research .gemini/skills/deep-research && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "deep-research" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/ja-JP/skills/deep-research into .gemini/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install affaan-m/ECC deep-researchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add affaan-m/ECC --skill deep-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .github/skills && cp -r skills-src/docs/ja-JP/skills/deep-research .github/skills/deep-research && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "deep-research" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/ja-JP/skills/deep-research into .github/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add affaan-m/ECC --skill deep-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install affaan-m/ECC deep-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/docs/ja-JP/skills/deep-research .opencode/skills/deep-research && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "deep-research" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/ja-JP/skills/deep-research into .opencode/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
deep-research- GitHub stars
- 276k
- Token cost
- ~150 tokens
- SKILL.md length
- 31 words
- Files
- 1
- Skills in repo
- 683
- Repo updated
- First seen
- Licence
- MIT
At a glance
Runs multi-source web research through the firecrawl and exa MCP tools and writes a cited report with source attribution.
- Works in 5 steps: 質問を拡張 - キュレートするトピックと質問の軸を特定 → 複数のソースをスキャン -… → データを合成 - テーマごとにノートを整理、共通パターンを特定 → …
- Researching a topic in depth with cited sources
- SKILL.md covers 使用時期, ワークフロー and 出力形式
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
This skill produces in-depth, cited research reports on a topic using the firecrawl and exa MCP tools. The workflow asks one or two clarifying questions about your goal, splits the topic into three to five sub-questions, and searches each one with several keyword variations, mixing general and news queries and aiming for 15 to 30 unique sources in total.
For the most promising URLs it fetches full content, reading three to five key sources in full rather than relying on search snippets, then synthesizes the findings into a report with source attribution. Sources are ranked with academic, official and reputable news above blogs and forums. At least one of the firecrawl or exa MCP servers must be configured, and the skill itself warns that tool names, quotas and result shapes change, so the configured tools should be checked first.
When your agent uses it
- Researching a topic in depth with cited sources
- Running a competitive analysis or technology evaluation
- Doing due diligence on a company, investor or technology
- Estimating a market from several independent sources
Example prompts
- “Do a deep dive on the current state of solid-state batteries and give me a cited report.”
- “Research Notion's main competitors and compare their pricing, with sources.”
- “Investigate this startup before our call: funding, product and recent news.”
Requirements
- A configured firecrawl or exa MCP server
- Network access for web search and page fetching
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- 質問を拡張 - キュレートするトピックと質問の軸を特定
- 複数のソースをスキャン - Exa、GitHub、arXiv、論文、ブログ、ドキュメント
- データを合成 - テーマごとにノートを整理、共通パターンを特定
- メリット/デメリット表を構築 - トレードオフを明確に表示
- 権威ある答えを構築 - コンテキスト内の完全な画像を提示
What it can do on your machine
Read from SKILL.md and the folder at commit 4eb71d9. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Deep Research with Firecrawl and Exa loads about 150 tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 31 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from affaan-m/ECC at commit 4eb71d9, republished under its MIT licence (© affaan-m). 31 words, ~150 tokens.
Download SKILL.mdSave it as
.claude/skills/deep-research/SKILL.md (or your agent's skills folder).- name
- deep-research
- description
- コンテキスト深い研究を実施し、複雑なテーマについての権威ある答えを生成します。複数のソースをキュレート、相互参照、合成してコンテキスト内の完全な画像を構築します。
- origin
- ECC
ディープ リサーチ
複雑なテーマについて複数のソースをキュレート、交差参照、合成して権威ある答えを生成します。
使用時期
- ユーザーが「Xについて詳しく調べてくれ」と求める
- トレードオフ分析、選択肢の比較
- 市場調査、競合分析
- 技術的な深掘り（フレームワーク、言語、ツール）
- 複数の権限筋からの情報を必要とする質問
ワークフロー
- 質問を拡張 - キュレートするトピックと質問の軸を特定
- 複数のソースをスキャン - Exa、GitHub、arXiv、論文、ブログ、ドキュメント
- データを合成 - テーマごとにノートを整理、共通パターンを特定
- メリット/デメリット表を構築 - トレードオフを明確に表示
- 権威ある答えを構築 - コンテキスト内の完全な画像を提示
出力形式
- 要約（2-3段落）
- 重要な発見（箇条書き）
- メリット/デメリット表
- 推奨事項またはベストプラクティス
- ソース参考文献
© affaan-m, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in docs/ja-JP/skills/deep-research of affaan-m/ECC.
Open the folder on GitHubat commit 4eb71d9
Compare with similar skills
Deep Research with Firecrawl and Exa next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Deep Research with Firecrawl and Exa this skillaffaan-m/ECC | 276k | — | ~150 | Automated safety check: Pass | MIT | |
| Local RAG Searchnkapila6/mcp-local-rag | 134 | 1 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Mysearchskernelx/MySearch-Proxy | 159 | — | ~3k | Automated safety check: Notes | None | |
| Deep Research MCP Guidepminervini/deep-research-mcp | 114 | — | ~5.8k | Automated safety check: Pass | MIT | |
| Web Research Search Tipsmalob/nix-config | 463 | — | ~2.4k | Automated safety check: Pass | MIT | |
| Deep ResearchaAAaqwq/AGI-Super-Team | 105 | 5 repos | ~1.1k | Automated safety check: Pass | MIT |
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Practical guidance for multi-source web research with Exa, the Firecrawl CLI and Reddit MCP tools: when to search, when to fetch and which tool to prefer.
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Related
Works with
Categories
Questions about Deep Research with Firecrawl and Exa
What does Deep Research with Firecrawl and Exa do?
Runs multi-source web research through the firecrawl and exa MCP tools and writes a cited report with source attribution. This skill produces in-depth, cited research reports on a topic using the firecrawl and exa MCP tools. The workflow asks one or two clarifying questions about your goal, splits the topic into three to five sub-questions, and searches each one with several keyword variations, mixing general and news queries and aiming for 15 to 30 unique sources in total.
When should I use Deep Research with Firecrawl and Exa?
Deep Research with Firecrawl and Exa fits situations like: researching a topic in depth with cited sources; running a competitive analysis or technology evaluation; doing due diligence on a company, investor or technology; estimating a market from several independent sources.
How do I install Deep Research with Firecrawl and Exa in Claude Code?
Run `npx skills add affaan-m/ECC --skill deep-research -a claude-code`. Or copy the skill folder (docs/ja-JP/skills/deep-research in affaan-m/ECC) into .claude/skills/deep-research in your project. Claude Code loads it when a task matches its description.
How do I install Deep Research with Firecrawl and Exa in Codex?
Run `npx skills add affaan-m/ECC --skill deep-research -a codex`. Or copy the skill folder (docs/ja-JP/skills/deep-research in affaan-m/ECC) into .agents/skills/deep-research in your project. Codex loads it when a task matches its description.
Can I use Deep Research with Firecrawl and Exa in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add affaan-m/ECC --skill deep-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deep-research, .gemini/skills/deep-research, .github/skills/deep-research and .opencode/skills/deep-research in your project.
What does Deep Research with Firecrawl and Exa need to run?
SKILL.md names no scripts, command-line tools or credentials: Deep Research with Firecrawl and Exa is instructions for the agent only. Our summary lists: A configured firecrawl or exa MCP server; Network access for web search and page fetching.
Does Deep Research with Firecrawl and Exa access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Deep Research with Firecrawl and Exa safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Deep Research with Firecrawl and Exa use?
Deep Research with Firecrawl and Exa is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Deep Research with Firecrawl and Exa use?
About 150 tokens (SKILL.md is roughly 600 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Deep Research with Firecrawl and Exa?
Skills that share tags, products or a category with Deep Research with Firecrawl and Exa: Local RAG Search (nkapila6/mcp-local-rag, 134 stars), Mysearch (skernelx/MySearch-Proxy, 159 stars), Deep Research MCP Guide (pminervini/deep-research-mcp, 114 stars) and Web Research Search Tips (malob/nix-config, 463 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Deep Research with Firecrawl and Exa?
affaan-m (a GitHub user) maintains it in affaan-m/ECC, which has 276,111 GitHub stars. The repository holds 683 skills in this directory. The repository was last updated on October 10, 2026.
Source: affaan-m/ECC on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.