Brave Search
badlogic/pi-skills
Web search and content extraction via Brave Search API. An agent skill from badlogic/pi-skills.
Recommend films, books, games, restaurants, or gear using what the user has already said they like and dislike, plus a web search for current options.
Install Recommendations
$ npx skills add amd/gaia --skill recommendations -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install amd/gaia recommendations --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/amd/gaia.git skills-src && mkdir -p .claude/skills && cp -r skills-src/hub/skills/recommendations .claude/skills/recommendations && 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 "recommendations" agent skill from https://github.com/amd/gaia/tree/main/hub/skills/recommendations into .claude/skills/recommendations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recommendations", 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/amd/gaia/tree/main/hub/skills/recommendationsType 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 amd/gaia --skill recommendations -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install amd/gaia recommendations --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/amd/gaia.git skills-src && mkdir -p .agents/skills && cp -r skills-src/hub/skills/recommendations .agents/skills/recommendations && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "recommendations" agent skill from https://github.com/amd/gaia/tree/main/hub/skills/recommendations into .agents/skills/recommendations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recommendations", 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 amd/gaia --skill recommendations -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install amd/gaia recommendations --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/amd/gaia.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/hub/skills/recommendations .cursor/skills/recommendations && 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 "recommendations" agent skill from https://github.com/amd/gaia/tree/main/hub/skills/recommendations into .cursor/skills/recommendations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recommendations", 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/amd/gaia.git --path hub/skills/recommendations--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 amd/gaia --skill recommendations -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install amd/gaia recommendations --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/amd/gaia.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/hub/skills/recommendations .gemini/skills/recommendations && 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 "recommendations" agent skill from https://github.com/amd/gaia/tree/main/hub/skills/recommendations into .gemini/skills/recommendations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recommendations", 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 amd/gaia recommendationsInstalls 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 amd/gaia --skill recommendations -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/amd/gaia.git skills-src && mkdir -p .github/skills && cp -r skills-src/hub/skills/recommendations .github/skills/recommendations && 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 "recommendations" agent skill from https://github.com/amd/gaia/tree/main/hub/skills/recommendations into .github/skills/recommendations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recommendations", 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 amd/gaia --skill recommendations -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install amd/gaia recommendations --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/amd/gaia.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/hub/skills/recommendations .opencode/skills/recommendations && 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 "recommendations" agent skill from https://github.com/amd/gaia/tree/main/hub/skills/recommendations into .opencode/skills/recommendations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recommendations", 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
recommendations- GitHub stars
- 1.6k
- Token cost
- ~622 tokens
- SKILL.md length
- 303 words
- Files
- 1
- Skills in repo
- 44
- Repo updated
- First seen
- Licence
- MIT
At a glance
Recommend films, books, games, restaurants, or gear using what the user has already said they like and dislike, plus a web search for current options.
- Works in 6 steps: Recall taste before searching. → If memory is empty, ask two questions,… → Find current candidates with… → …
- The user asks what to watch
- SKILL.md covers Procedure, Rules and Fork this
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Recommendations is an agent skill from amd/gaia. Recommend films, books, games, restaurants, or gear using what the user has already said they like and dislike, plus a web search for current options. Use when the user asks what to watch, read, play, buy, or try next.
Its SKILL.md is about 620 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Productivity & Automation, covering Web search. The repository describes itself as: Build AI agents for your PC. The licence is MIT.
When your agent uses it
- The user asks what to watch
- Tasks that involve Web search
Example prompts
- “/recommendations”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Recall taste before searching.
- If memory is empty, ask two questions, not ten: one thing in this
- Find current candidates with search_web(query). Recommend from what
- Rank by predicted fit, not popularity. For each of 3–5 picks, give
- Include one deliberate stretch pick and label it as such. A list that only
- Record the outcome. When the user reacts, store it
What it can do on your machine
Read from SKILL.md and the folder at commit 6c3bb5c. 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
Recommendations loads about 622 tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 303 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 amd/gaia at commit 6c3bb5c, republished under its MIT licence (© amd). 303 words, ~622 tokens.
Download SKILL.mdSave it as
.claude/skills/recommendations/SKILL.md (or your agent's skills folder).- name
- recommendations
- description
- Recommend films, books, games, restaurants, or gear using what the user has already said they like and dislike, plus a web search for current options. Use when the user asks what to watch, read, play, buy, or try next.
- license
- MIT
- version
- 1.0.0
Recommendations
A recommendation is only worth more than a list if it uses something the recommender knows about this person. Memory is what makes it personal; search is what keeps it current.
Procedure
- Recall taste before searching.
recall(query="<category> preferences", limit=20)and again for dislikes. Pull both what they liked and, more importantly, what they bounced off — a dislike is a sharper signal than a like. - If memory is empty, ask two questions, not ten: one thing in this category they loved, and one they gave up on. Then continue.
- Find current candidates with
search_web(query). Recommend from what exists now, not from a stale training-set memory of "recent" releases. Usefetch_page(url)on a promising list or review to get real detail. - Rank by predicted fit, not popularity. For each of 3–5 picks, give:
- the pick,
- one sentence on why it fits them — naming the specific prior taste it connects to,
- one honest caveat ("slow first hour", "the sequel is weaker").
- Include one deliberate stretch pick and label it as such. A list that only confirms known taste teaches the user nothing.
- Record the outcome. When the user reacts, store it:
remember(fact="<category>: liked/disliked <title> — <reason>", category="preference"). This is the step that makes the next run better; skipping it makes the skill a search wrapper.
Rules
- Never recommend something you cannot name a concrete reason for.
- If the user rejects a pick, do not re-suggest it later — that is what step 6 prevents.
- Say when you are unsure. "I think you'll like this, but it's a stretch from what I know" is more useful than false confidence.
Fork this
Change the category and the taste dimensions in step 4 — for restaurants, cuisine, noise level, and price band; for gear, budget, use case, and brand loyalty. The recall-search-rank-record loop is unchanged.
© amd, 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 hub/skills/recommendations of amd/gaia.
Open the folder on GitHubat commit 6c3bb5c
Compare with similar skills
Recommendations 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 |
|---|---|---|---|---|---|---|
| Recommendations this skillamd/gaia | 1.6k | — | ~622 | Automated safety check: Pass | MIT | |
| Brave Searchbadlogic/pi-skills | 2.6k | 6 repos | ~592 | Automated safety check: Pass | MIT | |
| Enterprise AI Scenario MapMetaInFLow/Enterprise-ai-scenario-map-skill | 632 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Web Searchjjyaoao/HelloAgents | 3.2k | 1 repos | ~5.6k | Automated safety check: Pass | MIT | |
| Ddg SearchTheSyart/claude-agent-examples | 404 | 1 repos | ~493 | Automated safety check: Pass | None | |
| Local Web SearchuluckyXH/OpenMOSS | 1.3k | — | ~392 | Automated safety check: Notes | MIT |
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MetaInFLow/Enterprise-ai-scenario-map-skill
企业AI场景地图生成报告工具。通过 web-search 深度调研企业信息，按照V2.1标准模板生成结构化AI应用场景地图报告，包含企业画像、业务诊断、行业实践、AI场景全量表、实施路径等完整内容。
Web Search
jjyaoao/HelloAgents
Implement web search capabilities using the z-ai-web-dev-sdk.
Ddg Search
TheSyart/claude-agent-examples
Web search without an API key using DuckDuckGo Lite via webfetch.
Local Web Search
uluckyXH/OpenMOSS
A skill your agent uses when the user asks for web search that should run via the local-160 Responses API with websearch tool (base URL like https://proxy.example.com, model gpt-5.2-codex(xhigh)).
Web Search
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Web search and content extraction with Tavily and Exa via inference.sh CLI.
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Related
Categories
Questions about Recommendations
What does Recommendations do?
Recommend films, books, games, restaurants, or gear using what the user has already said they like and dislike, plus a web search for current options. Recommendations is an agent skill from amd/gaia. Recommend films, books, games, restaurants, or gear using what the user has already said they like and dislike, plus a web search for current options.
When should I use Recommendations?
Recommendations fits situations like: the user asks what to watch; tasks that involve Web search.
How do I install Recommendations in Claude Code?
Run `npx skills add amd/gaia --skill recommendations -a claude-code`. Or copy the skill folder (hub/skills/recommendations in amd/gaia) into .claude/skills/recommendations in your project. Claude Code loads it when a task matches its description.
How do I install Recommendations in Codex?
Run `npx skills add amd/gaia --skill recommendations -a codex`. Or copy the skill folder (hub/skills/recommendations in amd/gaia) into .agents/skills/recommendations in your project. Codex loads it when a task matches its description.
Can I use Recommendations 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 amd/gaia --skill recommendations -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/recommendations, .gemini/skills/recommendations, .github/skills/recommendations and .opencode/skills/recommendations in your project.
What does Recommendations need to run?
SKILL.md names no scripts, command-line tools or credentials: Recommendations is instructions for the agent only.
Does Recommendations 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 Recommendations 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 Recommendations use?
Recommendations is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Recommendations use?
About 622 tokens (SKILL.md is roughly 2.5k 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 Recommendations?
Skills that share tags, products or a category with Recommendations: Brave Search (badlogic/pi-skills, 2.6k stars), Enterprise AI Scenario Map (MetaInFLow/Enterprise-ai-scenario-map-skill, 632 stars), Web Search (jjyaoao/HelloAgents, 3.2k stars) and Ddg Search (TheSyart/claude-agent-examples, 404 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Recommendations?
amd (a GitHub organization) maintains it in amd/gaia, which has 1,580 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on October 6, 2026.
Source: amd/gaia on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.