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ce-slack-research

Search Slack for interpreted organizational context -- decisions, constraints, and discussion arcs that shape the current task. Produces a research digest with cross-cutting analysis and research-value assessment, not raw message lists. Use when searching Slack for context during planning, brainstorming, or any task where organizational knowledge matters. Trigger phrases: 'search slack for', 'what did we discuss about', 'slack context for', 'organizational context about', 'what does the team think about', 'any slack discussions on'. Differs from slack:find-discussions which returns individual message results without synthesis.

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JesusFilm/core25 stars(GitHub 25 + cccskills 0)
Works withSlack

Run score Not tested

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SKILL.md (original)

Review the instructions the agent will receive before you install.

/ce-slack-research

Search Slack for organizational context and receive an interpreted research digest.

Usage

/ce-slack-research [topic or question]
/ce-slack-research

Examples

/ce-slack-research free trial
/ce-slack-research What did we say about free trial recently?
/ce-slack-research free trial in #proj-reverse-trial
/ce-slack-research onboarding flow after:2026-03-01

The input can be a keyword, a natural language question, or include Slack search modifiers like channel hints (in:#channel) and date filters (after:YYYY-MM-DD). The agent extracts the topic and formulates searches from whatever form the input takes.

Execution

If no argument is provided, ask what topic to research. Use the platform's blocking question tool: AskUserQuestion in Claude Code (call ToolSearch with select:AskUserQuestion first if its schema isn't loaded), request_user_input in Codex, ask_user in Gemini, ask_user in Pi (requires the pi-ask-user extension). Fall back to asking in plain text only when no blocking tool exists in the harness or the call errors (e.g., Codex edit modes) — not because a schema load is required. Never silently skip the question.

Dispatch ce-slack-researcher with the user's topic as the task prompt. Omit the mode parameter so the user's configured permission settings apply.

The agent handles everything from here -- Slack MCP discovery, search execution, thread reads, and synthesis. It returns a digest with:

  • Workspace identifier so the user can verify the correct Slack instance was searched
  • Research-value assessment (high / moderate / low / none) with justification
  • Findings organized by topic with source channels and dates
  • Cross-cutting analysis surfacing patterns across findings

If the agent reports that Slack is unavailable (MCP not connected or auth expired), relay the message to the user. Do not attempt alternative research methods.

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