tdmcp-implementation-learning SKILL.md skillA
This file is byte-identical to the first copy the registry indexed, one of 4 indexed copies. Same content hash, so the same checks give both the same grade.
tdmcp-implementation-learning 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.
mdr add hybridlabor-api/bdb-dev-optimized-agent-skills/tdmcp-implementation-learning@git:20260727.48beb34Pins 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-implementation-learning/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260727.48beb34, committed Jul 27, 2026
- Size
- 8,799 bytes
- Repository stars
- 7
- License
- Apache-2.0
Study a merged or shipped tdmcp implementation and extract reusable learnings: code improvements, runtime/UX lessons, test gaps, docs updates, roadmap items, and harness changes. Use when the user asks to learn from a completed feature/project/PR/build, analyze what can be improved from an implementation, or turn a real installation experience into actionable tdmcp improvements. This is a post-implementation learning harness; it does not replace tdmcp-pipeline for building or…
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-implementation-learning - post-implementation learning harness Coordinate a focused study of a completed tdmcp implementation, then turn the evidence into a prioritized improvement backlog. This harness answers: "What did this implementation teach us, and what should tdmcp improve next?" Use it after a feature has already been built, merged, tested in TouchDesigner, used with hardware, reviewed in a PR, or exercised in a real installation. ## Boundary This harness studies and routes improvements. It does not own arbitrary feature implementation. - Shipped/merged implementation learning: `tdmcp-implementation-learning`. - Chosen new feature build: `tdmcp-pipeline`. - Broad repo quality or command health: `tdmcp-quality-audit`. - Known coverage gaps: `tdmcp-test-coverage`. - Docs, roadmap, or changelog sync: `tdmcp-docs-roadmap-update`. - Continued Kinect wall harp work: `tdmcp-kinect-wall-harp`. ## Execution mode: sub-agent fan-out -> fan-in No `TeamCreate`. Use coordinated sub-agents with file handoffs. - Scope: lead only. Determine target feature, evidence sources, and artifact directory. …
Read the whole file at its exact version.
How to install
mdr add hybridlabor-api/bdb-dev-optimized-agent-skills/tdmcp-implementation-learning@sha256:152515235e660c68The 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.
[](https://markdownregistry.com/a/art_fk7zqne7meyph6gm)
6 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.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (8799 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
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_fk7zqne7meyph6gm GET https://markdownregistry.com/api/v1/resolve?ref=hybridlabor-api/bdb-dev-optimized-agent-skills/tdmcp-implementation-learning GET https://markdownregistry.com/api/v1/blob/152515235e660c681a3eb52211a68d48284f81e0d5fb0964936c8888d33a8b5c
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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