Outcome-based prompting per WORKFLOW.md §9. An agent skill from alexandremendoncaalvaro/CorridorKey-Runtime.

Custom licenceAuto-check passed

Install Ad Tdg

skills CLI
$ npx skills add alexandremendoncaalvaro/CorridorKey-Runtime --skill ad-tdg -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install alexandremendoncaalvaro/CorridorKey-Runtime ad-tdg --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/alexandremendoncaalvaro/CorridorKey-Runtime.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/ad-tdg .claude/skills/ad-tdg && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ad-tdg
GitHub stars
756
Used in
1 other repo
Token cost
~2.1k tokens
SKILL.md length
998 words
Files
2
Skills in repo
26
Repo updated
First seen
Licence
Custom licence

At a glance

Outcome-based prompting per WORKFLOW.md §9. An agent skill from alexandremendoncaalvaro/CorridorKey-Runtime.

  • Works in 4 steps: Grep for tests referencing the file by… → Grep for tests referencing the function… → Run the matched tests in isolation to… → …
  • Expected output
  • Calls npx
  • Three approaches

What it does

Ad Tdg is an agent skill from alexandremendoncaalvaro/CorridorKey-Runtime. Outcome-based prompting per WORKFLOW.md §9. Give the agent the finish line first, not the path. Five steps — confirm regime, ground truth pair, Test Dependency Map, three approaches, pick by one criterion, implement and verify. Triggers on "outcome-based", "TDG", "ground truth", "expected output", "three approaches", "pick by criterion", "test dependency map", "TDM", "before modifying", "tests covering this file", "give the finish line". Routes to ad-spike if the technique itself is uncertain. No file written…

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

The repository describes itself as: Native AI keying runtime and OFX plugin for DaVinci Resolve, built in collaboration with Corridor Digital.

When your agent uses it

  • Expected output
  • Three approaches
  • Pick by criterion
  • Test dependency map

Example prompts

  • “outcome-based”
  • “ground truth”
  • “expected output”
  • “/ad-tdg”

Requirements

  • Node.js

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Grep for tests referencing the file by import path: grep -r 'from.*' test/ tests/.
  2. Grep for tests referencing the function or symbol: grep -r '' test/ tests/.
  3. Run the matched tests in isolation to confirm green: npx node --test test/.test.js or equivalent for the language.
  4. If empty: write a test that asserts the current behavior. Run. Confirm green. Then proceed to Step 3.

What it can do on your machine

Read from SKILL.md and the folder at commit e632fa5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ad Tdg loads about 2.1k tokens when it runs. Until then it costs about 149 tokens; SKILL.md has 998 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~149
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 998 words (~2,121 tokens).

“Implements WORKFLOW.md §9 (Outcome-Based Prompting / Test Dependency Map) end-to-end. The skill is for the implementation phase when the canonical technique is known and multiple implementation strategies are plausible. WORKFLOW §14 (ad-spike) covers the technique-unknown regime; §9 (this skill) covers…”

— opening of SKILL.md by alexandremendoncaalvaro, Custom licence
name
ad-tdg
summary
Outcome-based prompting per WORKFLOW §9. Ground truth pair + Test Dependency Map + three approaches + single-criterion selection, when the technique is known…

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in .agents/skills/ad-tdg of alexandremendoncaalvaro/CorridorKey-Runtime.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit e632fa5

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in alexandremendoncaalvaro/CorridorKey-Runtime, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Ad Tdg next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ad Tdg compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ad Tdg this skillalexandremendoncaalvaro/CorridorKey-Runtime7561 repos~2.1kAutomated safety check: PassCustom licence
Prompt Optimizeraffaan-m/ECC277k5 repos~3.8kAutomated safety check: PassMIT
Refine Promptpenpot/penpot61k—~1.6kAutomated safety check: PassMPL-2.0
Prompt Governancealirezarezvani/claude-skills28k—~2.8kAutomated safety check: PassMIT
Prompt Optimizeraffaan-m/ECC277k2 repos~2.4kAutomated safety check: PassMIT
Prompt Engineer Toolkitalirezarezvani/claude-skills28k—~1.4kAutomated safety check: PassMIT

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Questions about Ad Tdg

What does Ad Tdg do?

Outcome-based prompting per WORKFLOW.md §9. An agent skill from alexandremendoncaalvaro/CorridorKey-Runtime. Ad Tdg is an agent skill from alexandremendoncaalvaro/CorridorKey-Runtime.md §9.

When should I use Ad Tdg?

Ad Tdg fits situations like: expected output; three approaches; pick by criterion; test dependency map.

How do I install Ad Tdg in Claude Code?

Run `npx skills add alexandremendoncaalvaro/CorridorKey-Runtime --skill ad-tdg -a claude-code`. Or copy the skill folder (.agents/skills/ad-tdg in alexandremendoncaalvaro/CorridorKey-Runtime) into .claude/skills/ad-tdg in your project. Claude Code loads it when a task matches its description.

How do I install Ad Tdg in Codex?

Run `npx skills add alexandremendoncaalvaro/CorridorKey-Runtime --skill ad-tdg -a codex`. Or copy the skill folder (.agents/skills/ad-tdg in alexandremendoncaalvaro/CorridorKey-Runtime) into .agents/skills/ad-tdg in your project. Codex loads it when a task matches its description.

Can I use Ad Tdg in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alexandremendoncaalvaro/CorridorKey-Runtime --skill ad-tdg -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ad-tdg, .gemini/skills/ad-tdg, .github/skills/ad-tdg and .opencode/skills/ad-tdg in your project.

What does Ad Tdg need to run?

Going by SKILL.md and its folder, Ad Tdg needs the command-line tools its instructions call (npx). Our summary lists: Node.js.

Does Ad Tdg access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Ad Tdg safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ad Tdg use?

Ad Tdg has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Ad Tdg use?

About 2.1k tokens (SKILL.md is roughly 8.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ad Tdg?

Skills that share tags, products or a category with Ad Tdg: Prompt Optimizer (affaan-m/ECC, 277k stars), Refine Prompt (penpot/penpot, 61k stars), Prompt Governance (alirezarezvani/claude-skills, 28k stars) and Prompt Optimizer (affaan-m/ECC, 277k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ad Tdg?

alexandremendoncaalvaro (a GitHub user) maintains it in alexandremendoncaalvaro/CorridorKey-Runtime, which has 756 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on August 5, 2026.

Source: alexandremendoncaalvaro/CorridorKey-Runtime on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.