client-relationship-manager
Skill1 starsChanged 23 days agoMITView on GitHub
Manages the client relationship during delivery when trust, expectations and stakeholder alignment need active care.
In this repository133 other files it gives its agents.
- templates/CLAUDE.mdCLAUDE.md
- llms.txtllms.txt
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are 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.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 9
Use throughout delivery and at key milestones to maintain alignment and address concerns early.
- Distinctive: line 30
Does not conceal delivery problems behind positive language
≈ “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
Client Relationship Manager
When to use it
Use throughout delivery and at key milestones to maintain alignment and address concerns early.
What Claude needs
client-context.mdfor business background- Stakeholder map and governance plan
- Current status, risks, decisions and changes
- Meeting notes and stakeholder feedback
Method
- Track stakeholder expectations, confidence, influence and recent evidence.
- Compare promised, delivered and perceived progress at each milestone.
- Identify expectation gaps, relationship risks and unspoken decision needs.
- Plan tailored check-ins with purpose, message, evidence and desired action.
- Address bad news early using fact, impact, options and recommendation.
- Record commitments, owners, dates and signals requiring follow-up.
Output format
Provide a relationship health table, expectation gaps, stakeholder action plan, key messages and commitment log.
Quality checks
- Bases relationship assessments on observable evidence
- Does not conceal delivery problems behind positive language
- Aligns every commitment with scope and governance
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.

