search
Skill8 starsChanged 9 months agoMITView on GitHub
Search your Bindly knowledge base
We split this skill into the rules it gives an agent
4 rules. 0 are common, 2 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 45 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 5
Search the user's Bindly knowledge base for relevant context.
- Distinctive: line 14
When the user wants to search their knowledge:
- Very specific: line 21
Search: Use mcp_search with appropriate query
- Very specific: line 32
Use mcp_get_binding with tier=2
“Common” is measured: kept by at least 6 in 10 of the 45 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Search the user's Bindly knowledge base for relevant context.
Purpose
Help users find and retrieve knowledge they've previously saved to Bindly. This searches your account at bindly.app, not local files or conversation history.
Workflow
When the user wants to search their knowledge:
- Understand Intent: Clarify what the user is looking for
- A specific topic or concept?
- Related to a project or domain?
- Recent activity or older knowledge?
- Search: Use
mcp_searchwith appropriate query- Semantic search works across all Spaces
- Can filter by Space if needed
- Present Results (Tier 1): Show summaries first
- Title and key points
- Entities and tags
- Creation/update date
- This saves tokens and gives quick overview
- Deep Dive (Tier 2): On request, retrieve full content
- Use
mcp_get_bindingwith tier=2 - Show complete source content
- Offer version history if relevant
- Use
- Suggest Related: Help exploration
- Point out related bindings
- Suggest Sets that might be relevant
- Offer to organize findings
Example Prompts
- "What do I know about authentication patterns?"
- "Find my notes on React performance"
- "Search for anything related to API design"
Key Points
- Searches bindly.app, not local storage
- Two-tier retrieval: summaries first, full content on demand
- Can search across all Spaces or filter to specific ones
- Results are the same as what you'd see in other connected agents
Other versions50 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 50
- anthropics/knowledge-work-plugins★ 34ksame name
- exa-labs/exa-mcp-server★ 5.2ksame name
- browserbase/agent-browse★ 3.7ksame name
- spotify/portal-ai-plugins★ 2.5ksame name
- Muuuun/luxas★ 1.2ksame name
- ZimoLiao/scholaraio★ 577same name
- BlockRunAI/blockrun-mcp★ 392same name
- project-numina/numina-lean-agent★ 279same name
- brightdata/skills★ 268same name
- entireio/skills★ 223same name
40 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
Used alongsideProjects with it also use monitoring, export and 10 more.
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Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

