tdmcp-feature-discovery SKILL.md skillA

tdmcp-feature-discovery from hybridlabor-api/bdb-dev-optimized-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add hybridlabor-api/bdb-dev-optimized-agent-skills/tdmcp-feature-discovery@git:20260727.48beb34

Pins git:20260727.48beb34 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
hybridlabor-api/bdb-dev-optimized-agent-skills
Path
mcps/tdmcp/.claude/skills/tdmcp-feature-discovery/SKILL.md
Versions recorded
1
Latest version
git:20260727.48beb34, committed Jul 27, 2026
Size
8,254 bytes
Repository stars
7
License
Apache-2.0

Survey the whole tdmcp project and produce a prioritized list of NEW features it could implement — across artist controls, CLI/DX, AI/LLM integration, and TouchDesigner depth. Use whenever the user wants to brainstorm, discover, survey, list, or audit what features/tools/effects/controls/commands/prompts/capabilities tdmcp *could* add, asks 'what could we build / what's missing / what are the opportunities / ideas for the project', or wants a feature backlog or gap analysis. Also for…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# tdmcp-feature-discovery — new-feature ideation orchestrator

Coordinate a fan-out of surveyors + one synthesizer to produce a single prioritized **feature backlog** for tdmcp, deduped and reconciled against the roadmap. This harness *finds and ranks* ideas; the `tdmcp-pipeline` harness *builds* the chosen ones. Keep the boundary crisp: discovery answers "what should we consider next?", pipeline answers "build this."

## Execution mode: sub-agent fan-out → fan-in

| Stage | Mode | Why |
|---|---|---|
| Survey | sub-agent (fan-out, parallel) | the five surveyors are fully isolated — each owns one surface, no inter-comms needed; the textbook fan-out case (mirrors the pipeline's design/build stages) |
| Synthesize | sub-agent (×1) | a single reasoning-heavy consolidation pass over result files — no producer↔reviewer loop, so no team needed |

No `TeamCreate` here — surveys are pure result-passing via files, so sub-agents are the right tool over team overhead. All `Agent` calls use `model: "opus"`.

## Agent roster

| Agent | Type | Skill | Output |
|---|---|---|---|
| `td-surveyor` (×up to 5) | custom | `td-feature-survey` | `_workspace/discovery/01_survey_<surface>.md` |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add hybridlabor-api/bdb-dev-optimized-agent-skills/tdmcp-feature-discovery@sha256:6e166394e05eb029

The line at the top of this page pins the label git:20260727.48beb34, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_gcl4lir75lhjyqoy.svg)](https://markdownregistry.com/a/art_gcl4lir75lhjyqoy)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jul 27, 2026.

versioncommittedcommitsizeaudit
git:20260727.48beb34 latest2026-07-27 48beb34 8,254 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8254 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

hybridlabor-api/bdb-dev-optimized-agent-skills · 7 stars · license Apache-2.0 · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_gcl4lir75lhjyqoy
GET https://markdownregistry.com/api/v1/resolve?ref=hybridlabor-api/bdb-dev-optimized-agent-skills/tdmcp-feature-discovery
GET https://markdownregistry.com/api/v1/blob/6e166394e05eb029441f21f71d1a490d92606c9b9be9c3d9c438ca826d67e6d5

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in hybridlabor-api/bdb-dev-optimized-agent-skills

Other files named tdmcp-feature-discovery

tdmcp-feature-discovery SKILL.md skill
hybridlabor-api/bdb-dev-optimized-agent-skills · mcps/tdmcp/.agents/skills/tdmcp-feature-discovery/SKILL.md · Survey the whole tdmcp project and produce a prioritized list of NEW features it could implement — across artist…
git:20260813.2e0e3da · audit A · 7 stars
tdmcp-feature-discovery SKILL.md skill
hybridlabor-api/aos · mcps/tdmcp/.claude/skills/tdmcp-feature-discovery/SKILL.md · Survey the whole tdmcp project and produce a prioritized list of NEW features it could implement — across artist…
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tdmcp-feature-discovery SKILL.md skill
hybridlabor-api/aos · mcps/tdmcp/.agents/skills/tdmcp-feature-discovery/SKILL.md · Survey the whole tdmcp project and produce a prioritized list of NEW features it could implement — across artist…
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