by sandbaseai
88 installable open-source Agent Skills for research, social intelligence, marketing, and business workflows—compatible with Codex, Claude Code, Cursor, Gemini CLI, and DeepSeek Harness.
# Add to your Claude Code skills
git clone https://github.com/sandbaseai/sandbase-skillsGuides for using ai agents skills like sandbase-skills.
sandbase-skills is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by sandbaseai. 88 installable open-source Agent Skills for research, social intelligence, marketing, and business workflows—compatible with Codex, Claude Code, Cursor, Gemini CLI, and DeepSeek Harness. It has 50 GitHub stars.
sandbase-skills's catalog security scan is still queued. You can run an instant dependency and prompt-injection check now with the "Scan for vulnerabilities" button above.
Clone the repository with "git clone https://github.com/sandbaseai/sandbase-skills" and add it to your Claude Code skills directory (see the Installation section above).
sandbase-skills is primarily written in Python. It is open-source under sandbaseai on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh sandbase-skills against similar tools.
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Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
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Browse the flagship Skill: skills.sh · Agentic Awesome Skills · Agent Skill Exchange · askill · Awesome Skills · skills.re · SkillsCat · OpenAgentSkill · AgentSkill.sh
Have a repeatable workflow that is missing? Request a Skill with a public example and acceptance criteria.
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88 installable Agent Skills for research, social intelligence, marketing, and business workflows. Install into any compatible agent (DeepSeek Harness, Claude Code, Codex, Cursor, Gemini CLI) and start working immediately. The flagship research Skill works with host-provided search tools; connect SandBase when you want broader provider coverage.
SandBase also exposes 2,000+ models and APIs, including a unified surface for LLM, image, and video generation. Skills define the workflow; the SandBase API or MCP bridge supplies optional model, media, search, social, and data capabilities when a workflow needs them.
Start with multi-source-search: it runs with your agent's existing search tools,
ships a worked evidence-ledger example, and includes an offline validator. If it
improves a real workflow, star the repository
so other builders can discover it.
A Skill is an instruction file that teaches an AI agent how to do one specific job. Each Skill defines a repeatable workflow, evidence rules, and output format. Portable Skills can use capabilities already provided by the host agent; specialized social, market, and data workflows can add SandBase providers when configured.
# Try it without installing: generate the complete Skill prompt
npx skills use sandbaseai/sandbase-skills@multi-source-search
# Or install it into Codex
npx skills add sandbaseai/sandbase-skills@multi-source-search --agent codex
# Use it with your agent's existing web/search tools
# "Fact-check this claim with independent sources and validate the evidence ledger"
multi-source-search needs no SandBase account when the host agent already provides
search and page-reading tools. For specialized social, market, and data-provider Skills,
set SANDBASE_API_KEY in your environment—never in a prompt or committed file.
GitHub CLI 2.90.0 or later can preview a Skill before installing it. Because this repository groups Skills by domain, pass the exact path shown in the catalog:
# Inspect the instructions and bundled files without installing anything
gh skill preview sandbaseai/sandbase-skills research/multi-source-search
# Install it for Codex at user scope
gh skill install sandbaseai/sandbase-skills research/multi-source-search \
--agent codex --scope user
Replace the final path with another linked Skill path from the catalog below. See
GitHub's gh skill documentation for
supported agents, version pinning, updates, and security guidance.
Install the curated, account-free research plugin directly from this repository:
copilot plugin install sandbaseai/sandbase-skills:agent-plugin
The plugin follows the vendor-neutral Agent Plugins 1.0 specification
and currently packages multi-source-search with its references and offline evidence-ledger
validator. Its generated Skill copy is checked against the canonical source in CI.
Skills provide repeatable instructions; SandBase CLI adds six MCP tools for discovering and running 2,000+ models and APIs. Connect one of the 25 supported client targets, then use these Skills and MCP tools in the same agent:
npx -y https://github.com/sandbaseai/cli/releases/download/v0.1.17/sandbaseai-cli-0.1.17.tgz connect --client codex
Replace codex with another client ID from the
verified catalog.
Install all 88 Skills as a native DSH bundle:
dsh plugin --profile web add github:sandbaseai/sandbase-skills
dsh web
The bundle mounts the packaged marketing/ and research/ directories through
DSH's filesystem Skill provider while preserving the default Skill roots.
To copy only the flagship Skill into one project's
.dsh/skills/multi-source-search directory:
npx --yes github:sandbaseai/sandbase-skills add multi-source-search
The single-Skill installer and the bundle both run directly from the GitHub source, so no npm publication or SandBase account is required.
Install all 88 Skills as a native Claude Code plugin:
/plugin marketplace add sandbaseai/sandbase-skills
/plugin install sandbase-skills@sandbase-agent-skills
The marketplace manifest lists every Skill explicitly, so Claude Code can discover them on demand without copying directories by hand.
The multi-source-search Skill produces an
evidence ledger that can be checked before you trust or share its synthesis:
See the complete worked example, which cross-checks one claim against primary documentation from GitHub, GitLab, and Atlassian.
python3 research/multi-source-search/scripts/validate_report.py \
examples/verifiable-research-report.json
# VALID: 3 source(s), 1 claim(s), 2 provider(s)
The validator rejects unknown or duplicate sources, inflated confidence, unused evidence, and high-confidence claims that still have a declared conflict. It runs offline and checks internal consistency; it does not claim that a source is true.
For an end-to-end example that runs this research contract inside a governed, sandboxed runtime, read Build an Auditable Research Agent.
Install the matching Skill, then give your agent one of these tasks:
| Skill | Example task | What you get | Install |
|---|---|---|---|
twitter-intelligence |
“Compare sentiment and recurring complaints for Brand A and Brand B on X this month.” | Source-linked posts, trends, accounts, and a structured comparison | skills.sh |
multi-source-search |
“Verify the strongest evidence for and against this market claim.” | Cross-checked web and academic findings with disagreements called out | skills.sh |
competitor-monitor |
“Track three competitors’ pricing, launches, content, and social activity.” | A dated competitive-intelligence brief with observed changes | skills.sh |
seo-content-brief |
“Build a writer-ready brief for this target keyword.” | Search intent, competing pages, required subtopics, and differentiation angles | skills.sh |
github-profile-research |
“Assess this engineering team’s open-source activity.” | Repository, language, contribution, star, and activity analysis | skills.sh |
youtube-research |
“Map the leading channels and audience |