follow-up-draft
Skill2 starsChanged 59 days agoMITView on GitHub
Draft concise Slack or email follow-ups from context, notes, actions, or open asks.
In this repository7 other files it gives its agents.
- AGENTS.mdAGENTS.md
- brief-meSkill
- clear-askSkill
- decision-briefSkill
- meeting-to-actionsSkill
- reduce-to-factsSkill
- status-updateSkill
The file
We split this skill into the rules it gives an agent
8 rules. About 0 are common, 7 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈7
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 31
Do not send the draft unless explicitly asked.
- Distinctive: line 34
Keep the message concise and workplace-user friendly.
- Distinctive: line 38
Use only the useful subset of source-backed facts, assumptions, source gaps, stakeholder sensitivities, potential misreads, and the …
- Distinctive: line 40
Use the smallest useful output.
- Distinctive: line 42
When consuming upstream state, do not promote an assumption, inference, open question, proposed action, or stakeholder position into a …
- Distinctive: line 45
Keep unresolved approvals, owners, timing, and blockers explicit or conditional in the draft.
- Distinctive: line 46
Do not send, publish, update tickets, create events, or mutate systems unless explicitly asked.
- Very specific: line 55
If the user wants a fuller record before drafting, use the optional CONVERSATION_STATE.md template from this pack when it is available.
≈ “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
follow-up-draft
Purpose
Draft a concise follow-up that preserves the ask, owner, timing, context, and next step.
Use For
- Post-meeting follow-ups
- Slack reminders
- Email recaps
- Nudges on open asks
Inputs
- Notes
- Action list
- Open ask
- Project context
- Prior thread context
- A
reduce-to-factsledger or conversation-state record
Guardrails
- Read before write.
- Do not send the draft unless explicitly asked.
- Include the ask, owner, deadline or timing, and next step when known.
- Label assumptions or missing details.
- Keep the message concise and workplace-user friendly.
Portable Output Contract
- Use only the useful subset of source-backed facts, assumptions, source gaps, stakeholder sensitivities, potential misreads, and the suggested next action.
- Use the smallest useful output.
- Label assumptions and preserve source gaps, source anchors, and confidence labels.
- When consuming upstream state, do not promote an assumption, inference, open question, proposed action, or stakeholder position into a fact, decision, commitment, owner, or deadline without new source support.
- Keep unresolved approvals, owners, timing, and blockers explicit or conditional in the draft.
- Do not send, publish, update tickets, create events, or mutate systems unless explicitly asked.
Output
- Direct version
- Warm version
- Executive concise version
- Context note, when helpful
If the user wants a fuller record before drafting, use the optional
CONVERSATION_STATE.md template from this pack when it is available.
Success Standard
The user should be able to copy, tweak, and send a version within 5 minutes.
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.

