Jeden Skill in Manus ausführen
mit einem Klick

Jeden Skill in Manus mit einem Klick ausführen

ce-slack-research

Sterne1

Forks0

Aktualisiert19. Juni 2026 um 15:33

Search Slack for interpreted organizational context -- decisions, constraints, and discussion arcs -- and produce a synthesized research digest with cross-cutting analysis. Use when the user says 'search slack for', 'what did we discuss about', 'slack context for', or 'what does the team think about'. Differs from slack:find-discussions, which returns raw message results without synthesis.

Installation

Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.

In Manus ausführen

Quelle

unizhu

unizhu/ugent-compound-engineering

GitHub-Repository öffnen Creator-Repositorys ansehen

Download

In Manus ausführen

Verwandte BerufeSOC

Basierend auf der SOC-Berufsklassifikation

Marktforschungsanalysten und MarketingspezialistenWirtschafts- und Finanzberufe·SOC 13-1161

SKILL.md

readonly

name	ce-slack-research
description	Search Slack for interpreted organizational context -- decisions, constraints, and discussion arcs -- and produce a synthesized research digest with cross-cutting analysis. Use when the user says 'search slack for', 'what did we discuss about', 'slack context for', or 'what does the team think about'. Differs from slack:find-discussions, which returns raw message results without synthesis.

/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 ask_user_input: Fall back to numbered options in chat only when the tool call errors (e.g., tool unavailable).g., tool unavailable) — 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.

Mehr aus diesem Repository

gleiches Repository

ce-agent-native-architecture

unizhu/ugent-compound-engineering

Build applications where agents are first-class citizens. Use this skill when designing autonomous agents, creating MCP tools, implementing self-modifying systems, or building apps where features are outcomes achieved by agents operating in a loop.

2026-06-191

ce-agent-native-audit

unizhu/ugent-compound-engineering

Run comprehensive agent-native architecture review with scored principles

2026-06-191

ce-brainstorm

unizhu/ugent-compound-engineering

Explore requirements and approaches through collaborative dialogue, then write a right-sized requirements document. Use when the user says "let's brainstorm", "what should we build", or "help me think through X", presents a vague or ambitious feature request, or seems unsure about scope or direction -- even without explicitly asking to brainstorm.

2026-06-191

ce-clean-gone-branches

unizhu/ugent-compound-engineering

Clean up local branches whose remote tracking branch is gone. Use when the user says "clean up branches", "delete gone branches", "prune local branches", "clean gone", or wants to remove stale local branches that no longer exist on the remote. Also handles removing associated worktrees for branches that have them.

2026-06-191

ce-code-review

unizhu/ugent-compound-engineering

Structured code review using tiered persona agents, confidence-gated findings, and a merge/dedup pipeline. In interactive mode it applies safe, verified fixes and commits them when the working tree is clean (it never pushes); in mode:agent it reports only and the caller applies. Use when reviewing code changes before creating a PR.

2026-06-191

ce-commit-push-pr

unizhu/ugent-compound-engineering

Commit, push, and open a PR with an adaptive, value-first description that scales in depth with the change. Use when the user says "commit and PR", "ship this", "create a PR", or "open a pull request". Also handles description-only flows ("write a PR description", "rewrite the PR body", "describe this PR") without committing or pushing.

2026-06-191

name	ce-slack-research
description	Search Slack for interpreted organizational context -- decisions, constraints, and discussion arcs -- and produce a synthesized research digest with cross-cutting analysis. Use when the user says 'search slack for', 'what did we discuss about', 'slack context for', or 'what does the team think about'. Differs from slack:find-discussions, which returns raw message results without synthesis.

/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

Execution

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.