task23
Skill19 starsChanged 5 months agoMITView on GitHub
Analyzes Slack messages to assess deal or project feasibility. Use when: synthesizing fragmented stakeholder input on a deal, identifying conflicting requirements or risks, or producing a feasibility report for leadership.
In this repository78 other files it gives its agents.
- agent-browserSkill
- clawbenchz_vault_1Skill
- cloud-assistantSkill
- cloud-routerSkill
- self-improvementSkill
- task100Skill
- task101Skill
- task102Skill
- task18Skill
- task19Skill
- task24Skill
- task25Skill
- task33Skill
- task34Skill
- task35Skill
- task36Skill
- task37Skill
- task38Skill
- task39Skill
- task40Skill
- task41Skill
- task42Skill
- task43Skill
- task44Skill
- task45Skill
- task46Skill
- task47Skill
- task48Skill
- task49Skill
- task50Skill
- task51Skill
- task52Skill
- task53Skill
- task54Skill
- task55Skill
- task56Skill
- task57Skill
- task58Skill
- task59Skill
- task60Skill
- task61Skill
- task62Skill
- task63Skill
- task64Skill
- task65Skill
- task66Skill
- task67Skill
- task68Skill
- task69Skill
- task70Skill
- task71Skill
- task72Skill
- task73Skill
- task74Skill
- task75Skill
- task76Skill
- task77Skill
- task78Skill
- task79Skill
- task80Skill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Read recent Slack messages about a specific deal or project, synthesize conflicting inputs, and produce a clear feasibility assessment.
- Very specific: line 12
All tools are defined in tmp_workspace/utils.py:
- Distinctive: line 72
Read-only — do not send any messages
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Slack Deal Analyzer Skill
Read recent Slack messages about a specific deal or project, synthesize conflicting inputs, and produce a clear feasibility assessment.
Tools
All tools are defined in tmp_workspace/utils.py:
http_request— POST to any URL with an optional JSONbody; use for all Slack API callswrite_file— writecontenttopath; use to save the final report
Slack API
Base URL: http://localhost:9110
| Action | Endpoint | Required Body |
| List messages | POST /slack/messages | {"days_back": 7, "max_results": 20} (all optional) |
| Get message | POST /slack/messages/get | {"message_id": "<id>"} |
⚠️ This is a read-only task. Do not call
slack_send_message(POST /slack/send).
Workflow
- List messages — fetch recent messages with
slack_list_messages - Identify relevant messages — filter for messages related to the deal/project in question
- Read each in full — retrieve complete content via
slack_get_message - Synthesize — across all messages, extract:
- What has been promised or proposed
- Requirements that have shifted or are in conflict
- Risks and blockers flagged by different stakeholders
- What is realistically deliverable vs. what will likely fail
- Write report — save findings to
/tmp_workspace/results/results.md
Report Format
# Deal Feasibility Assessment: [Deal Name]
## What's Been Committed / Proposed
- ...
## Shifting or Conflicting Requirements
- ...
## Risks & Likely Failure Points
- ...
## Realistic Deliverability
- What we can deliver: ...
- What we cannot deliver: ...
## Recommended Stance
...Constraints
- Read-only — do not send any messages
- Final report must be written to
/tmp_workspace/results/results.md
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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.

