Workplace search
Skill panaversity/agentfactory-business-plugins/agentic-office/skills/workplace-search
Marketplace of domain-specific plugins for AI agents (Cowork, Claude Code, OpenClaw). Build autonomous business workflows for finance, banking, legal operations, and sales using modular agent skills and commands.
npx -y skills add panaversity/agentfactory-business-plugins --skill workplace-searchAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
Activate for: search everything, cross-context search, what do we know about, find the decision, search all layers, search across workplace memory, what was agreed, when did we decide, find everything about, who knows about, what have we discussed about, pull everything on, find in workplace memory, search all. NOT for: basic memory lookup (use official productivity plugin memory-management), adding new entries (use workplace-context).
SKILL.md
2.6 KB, as published. Nobody here has run it
CROSS-CONTEXT SEARCH WORKFLOW
STEP 1 — LOAD CONTEXT
Read work.local.md in the current working directory.
If it does not exist, tell the user to run /agentic-office:setup first.
STEP 2 — SEARCH ALL LAYERS
Search across all four memory layers simultaneously:
PERSONAL: Working style; current focus; priorities TEAM: Person entries; communication notes; relationship history PROJECTS: Project names; codenames; status; decisions; milestones ORGANISATIONAL: Terminology; meeting notes; decision log; action log
STEP 3 — PRODUCE RESULTS
OUTPUT STRUCTURE:
SEARCH RESULTS: "[Query]"
================================================================
Found in:
PROJECT MEMORY:
[Relevant project entries — name; status; connection to query]
MEETING NOTES / DECISION LOG:
[Relevant decisions; when made; by whom; context]
PEOPLE MEMORY:
[Relevant person entries — role; connection to query]
TERMINOLOGY:
[Relevant term definitions]
DELEGATION LOG:
[Any active or past delegations related to query]
RECOMMENDED NEXT STEP:
[Specific actionable recommendation based on search results]
================================================================
Search Behaviour Rules
IF FOUND: Surface all relevant entries; note the layer each came from IF NOT FOUND: Say explicitly "Not in workplace memory" — do not fabricate; offer to add if the user can provide the information IF PARTIAL: Surface what exists; flag what is missing; offer to add the missing information
Cross-Reference Pattern
For queries that span multiple layers:
"What do we know about [topic]?" Search all layers simultaneously Group results by layer Synthesise: "Here is the complete picture across all memory layers"
"When did we decide [X]?" Search decision log first Cross-reference with meeting notes Surface: decision + date + context + who was involved
NEVER DO THESE
- NEVER return search results from memory you do not have — if it is not in work.local.md, say so clearly
- NEVER search only one layer when the query could span multiple
- NEVER omit the recommended next step — search without a recommended action is information without utility