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From ai4comms
Capture structured client, operator, and agent-execution feedback through the asset-broker MCP and write it to the scoped feedback lane in the shared `client-feedback` repo. Use when the user wants to record product feedback on a deliverable or when the agent should file an infra-quality retrospective about the skill/tooling it just used.
How this skill is triggered — by the user, by Claude, or both
Slash command
/ai4comms:asset-feedbackThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
This skill's full instructions are hosted on the `asset-broker` MCP server. Do not hardcode workflow logic locally — always fetch the live version from the MCP.
This skill's full instructions are hosted on the asset-broker MCP server. Do not hardcode workflow logic locally — always fetch the live version from the MCP.
Read the main skill instructions:
→ call the fs_read tool on the asset-broker MCP with path="skills/asset-feedback/SKILL.md".
Discover reference files (and any other skill assets), then read on demand:
→ call fs_list with path="skills/asset-feedback" (and path="skills/asset-feedback/references"),
→ call fs_read with path="skills/asset-feedback/references/<file>".
Follow the instructions returned by the MCP exactly.
Produce this skill's output only by following the live SKILL.md fetched above and calling the asset-broker MCP's own tools. Do not substitute a local or identically-named base skill from elsewhere, and do not invent your own output path. A locally-produced or unbranded artifact is wrong output, not a fallback — it bypasses the server-side brand and quality gates.
asset-broker MCP is slow to respondThis server scales to zero to save cost, so the first call may take ~10–30s to cold-start. If fs_read or a tool errors with unavailable/timeout:
fs_read call — the call itself wakes the container.npx claudepluginhub stromy-org/ai4comms-marketplace --plugin ai4commsProvides UI/UX resources: 50+ styles, color palettes, font pairings, guidelines, charts for web/mobile across React, Next.js, Vue, Svelte, Tailwind, React Native, Flutter. Aids planning, building, reviewing interfaces.
Fetches up-to-date documentation from Context7 for libraries and frameworks like React, Next.js, Prisma. Use for setup questions, API references, and code examples.