| name | client-feedback-collector |
| description | Collects and structures all client feedback received across consulting engagements — formal feedback, informal reactions, satisfaction signals, and criticism — so the consultant has a consolidated view of how each client perceives the work. Use when a consultant wants to understand their client satisfaction landscape. Triggers on "client feedback", "what are clients saying about the work", "satisfaction signals", "collect feedback", "how happy are my clients", "client reactions". |
| metadata | {"version":"1.0.0"} |
Client Feedback Collector
Prerequisites
This skill needs the iGPT MCP at https://mcp.igpt.ai/.
If the MCP tools aren't available or return an auth error, tell the
user to install the iGPT plugin (/plugin marketplace add igptai/skills)
or add https://mcp.igpt.ai/ as a connector, then complete OAuth and say
"ready". Retry once after they confirm. Never invent tokens or OAuth URLs.
For deeper troubleshooting: https://raw.githubusercontent.com/igptai/skills/main/shared/mcp-guard.md
What This Skill Does
Scans all client engagement email threads for feedback signals — formal
feedback given, informal reactions to deliverables, satisfaction or
dissatisfaction language, praise, criticism, and any pattern suggesting
a client's perception of the engagement is shifting — and returns a
structured satisfaction view by client.
Workflow
-
Before calling any tool, collect these values from the user. Offer the
defaults and let the user override them; do not invent values they did
not give.
- [time_range] — what window of email to scan. The user may give this
in any form ("last 6 months", "the last 90 days", "May 2024",
"since the kickoff"). Default: the last 6 months. Keep the user's
natural phrasing for use in the ask input; convert to ISO dates
separately for the search call.
