tdmcp-feature-discovery

Coordinate parallel surveys and synthesize prioritized feature backlogs for tdmcp roadmaps.

30|6|Updated May 25, 2026

Search Tags:#ideation #surveys #roadmap #backlog #synthesis #feature #tdmcp

Ready to run

npx skills add https://github.com/Pantani/tdmcp --skill tdmcp-feature-discovery

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: tdmcp-feature-discovery
Source: https://github.com/Pantani/tdmcp/tree/main/.agents/skills/tdmcp-feature-discovery
Command: npx skills add https://github.com/Pantani/tdmcp --skill tdmcp-feature-discovery

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinate a fan-out of surveyors + one synthesizer to produce a single, prioritized feature backlog for tdmcp, deduped and reconciled against the roadmap. The harness identifies and ranks ideas; the tdmcp-pipeline harness builds the chosen ones. Keep the boundary crisp: discovery answers what to consider next, while the pipeline builds it.

Core Features & Use Cases

Orchestrated discovery: runs parallel surveys across five surfaces (controls, library, cli, ai, td-depth) to surface ideas.
Synthesized backlog: merges results, resolves duplicates, and ranks items against the roadmap to produce workspace/discovery/FEATURE_BACKLOG.md.
Phase-driven workflow: implements context checks, phase 2 surveys, phase 3 synthesis, and phase 4 reporting to enable repeatable ideation cycles.

Quick Start

Run the feature discovery harness to generate a prioritized tdmcp feature backlog.

Frequently Asked Questions about tdmcp-feature-discovery

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I prioritize feature ideas for a product roadmap?▼

This Skill identifies and ranks new features by orchestrating parallel surveys across five surfaces, then synthesizes and deduplicates the results against the roadmap to produce a prioritized feature backlog.

What is the best way to synthesize survey results into a backlog?▼

Synthesizing survey results into a backlog involves merging parallel survey outputs, resolving duplicate ideas, and ranking the remaining items against the roadmap to generate a structured markdown feature backlog file.

How do I run feature discovery across different software surfaces?▼

Feature discovery across different software surfaces is executed through a phase-driven workflow that fans out parallel surveys across controls, library, cli, ai, and td-depth surfaces, followed by a synthesis pass to merge findings.

Can I use parallel surveys to deduplicate and reconcile a feature backlog?▼

Yes, you can use parallel surveys to deduplicate and reconcile a feature backlog by fanning out ideation sessions across distinct surfaces and running a synthesis pass to resolve overlaps against the roadmap.

What are the limitations of using automated ideation for roadmap planning?▼

Automated ideation for roadmap planning is limited to the discovery phase; it identifies and ranks what to consider next but does not build the chosen features, requiring a separate pipeline to execute the actual implementation.