component-design-with-tdad SKILL.md skillA
component-design-with-tdad from habitat-thinking/ai-literacy-superpowers is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add habitat-thinking/ai-literacy-superpowers/component-design-with-tdad@git:20260510.3655852Pins git:20260510.3655852 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- habitat-thinking/ai-literacy-superpowers
- Path
ai-literacy-superpowers/skills/component-design-with-tdad/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260510.3655852, committed May 10, 2026
- Size
- 13,394 bytes
- Repository stars
- 121
- License
- a license file GitHub does not identify
Use when designing a new plugin component (skill, agent, command, or backing script) for the ai-literacy-superpowers plugin or a sister plugin in this marketplace. Surfaces the design questions that the four-layer TDAD architecture implies — component type, tier targeting, scenario shape, FINDING-vs-scenario judgement, modification-vs-refactor heuristic. Loadable by spec-writer, tdd-agent, or directly during human brainstorming. Not a gate; a methodology guide that names the questions to ask…
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
# Component design with TDAD When designing a new plugin component — a skill, an agent, a command, or a backing script — the four-layer TDAD architecture has implications for the component's *shape* that are easy to miss if the design is done before the testing discipline is considered. This skill names the questions to ask at design time so the component ships test-friendly rather than acquiring (or never acquiring) its scenario afterwards. The skill is loadable by: - The `spec-writer` agent when authoring a spec that adds a new plugin component - The `tdd-agent` when operating in its agent-artefact branch (a scenario file is the RED-phase deliverable) - Human brainstorming directly, before any agent dispatch It is **not a gate**. The forcing functions live in HARNESS.md (the deterministic CI workflows shipped in v0.36.0). This skill packages the design intelligence those gates assume. --- ## Before reading this skill The skill assumes familiarity with: - The four-layer TDAD architecture — see [the TDAD docs page](../../../docs/tdad/index.md) and [`tdad_tests/README.md`](../../../tdad_tests/README.md) for the full architecture and cost-cadence trade-offs …
Read the whole file at its exact version.
How to install
mdr add habitat-thinking/ai-literacy-superpowers/component-design-with-tdad@sha256:d70b14b058ea5120The line at the top of this page pins the label git:20260510.3655852, 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_bbodih4mm35d6npi)
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Versions
The registry has recorded 1 version of this file, committed on May 10, 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 (13394 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
habitat-thinking/ai-literacy-superpowers · 121 stars · license a license file GitHub does not identify · pushed 2026-10-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_bbodih4mm35d6npi GET https://markdownregistry.com/api/v1/resolve?ref=habitat-thinking/ai-literacy-superpowers/component-design-with-tdad GET https://markdownregistry.com/api/v1/blob/d70b14b058ea51206a537781bd2379f9e48f53fbfe0a0c502bb2cf3cbafc0a1c
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.