td-feature-survey

Identify and document candidate features for a tdmcp surface with prioritized labels.

30|6|Updated May 25, 2026

Search Tags:#roadmap #survey #ai-assisted #feature-discovery #lenses #tdmcp

Ready to run

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

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identifies and documents feature opportunities for a single assigned surface of tdmcp, turning vague ideas into a grounded, auditable discovery.

Core Features & Use Cases

Structured surface verification: confirms the assigned surface and inventories existing capabilities.
Gap analysis against ROADMAP: compares findings to shipped, in-progress, and planned items.
Novelty labeling and prioritization: tags each candidate as NEW, ROADMAP, or EXTENSION with impact and confidence estimates.
Output to workspace/discovery: emits a ready-to-review list for cross-surface planning.

Quick Start

Survey a surface by inventorying existing capabilities, applying discovery lenses, and emitting a structured candidate list to workspace/discovery.

Frequently Asked Questions about td-feature-survey

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

FAQPage Schema

How do I discover feature ideas for a specific product surface?▼

Discover feature ideas by applying a structured gap-finding process across assigned surfaces, inventorying existing capabilities, and emitting a prioritized candidate list with novelty and confidence labels.

What is feature gap analysis against a product roadmap?▼

Feature gap analysis compares existing surface capabilities against shipped, in-progress, and planned roadmap items to identify candidate features, tagging each as NEW, ROADMAP, or EXTENSION with impact estimates.

Can I apply discovery lenses to inventory controls and library surfaces?▼

Yes, you can apply discovery lenses across controls, library, cli, ai, and td-depth surfaces to inventory existing capabilities and identify structured feature opportunities with grounded rationale.

How do I prioritize candidate features and label their novelty?▼

Prioritize candidate features by labeling each as NEW, ROADMAP, or EXTENSION, then assign impact and confidence estimates alongside roadmap status and required prerequisites to generate an auditable discovery list.

Does the feature discovery process require prerequisites for candidate features?▼

Yes, the feature discovery process annotates each candidate feature with required prerequisites and roadmap status, ensuring the output list is grounded and ready for cross-surface planning.

What is the best way to document feature opportunities for cross-surface planning?▼

Document feature opportunities by outputting a ready-to-review candidate list to a discovery workspace, annotating each idea with roadmap status, prerequisite requirements, and grounded rationale for planning.