SuperAPI AI Directory

workplace-search

General & other

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Updated 10-16 03:15

About this skill

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