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Gdd Fast

Community
hegemonart
gdd-fast

Trivial inline design task. No subagents, no planning documents, no pipeline stages. Just do the thing described. Activates for requests involving a single quick design fix, a one-shot change, or a fast targeted edit.

Overview

Publisherhegemonart
Repositoryget-design-done
Skill namegdd-fast
Stars
3
Forks
1
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by hegemonart on GitHub. Read the source before you install it.

Installation

Install the Gdd Fast AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/hegemonart/get-design-done/tree/main/scripts/skill-templates/fast
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/hegemonart/get-design-done.git /tmp/get-design-done
mkdir -p .claude/skills
cp -r /tmp/get-design-done/scripts/skill-templates/fast .claude/skills/gdd-fast
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gdd Fast in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Gdd Fast on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Gdd Fast is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

{{command_prefix}}fast

The leanest possible execution path. No subagents, no STATE.md update, no DESIGN-*.md artifacts. Read the target file, apply the change inline, commit.

When to use

  • "Change this button's border-radius to 8px"
  • "Add a hover state to the nav links"
  • "Fix the mobile breakpoint on the hero"
  • Single-file or single-component obvious changes

When NOT to use

  • Multi-component changes.
  • Anything touching tokens used across the app.
  • Anything requiring a design decision (taste, tradeoff, scope).
  • Use {{command_prefix}}quick or the full pipeline instead.

Steps

  1. Parse the task description from the argument.
  2. Use Grep/Glob to locate the target file(s). If ambiguous (>2 candidates), stop and ask the user which to edit - do not guess.
  3. Read the target file(s).
  4. Apply the described change with Edit.
  5. Run a relevant sanity check (grep for the old value to confirm it's gone; grep for the new value to confirm it's in).
  6. Commit with message: fix: <task description> (one commit, one change).
  7. Print: "Done: ."

Do Not

  • No subagent spawns.
  • No .design/ writes.
  • No STATE.md mutation.
  • No pipeline stage invocation.
  • Do not proceed if the change turns out to be non-trivial - bail out and recommend {{command_prefix}}quick or the full pipeline.
  • Do not skip the capability_gap emit on bail-out - Stage-0 telemetry depends on it (Phase 29 D-01).

Emitting capability_gap on no-skill-match

If step 2 cannot locate any candidate files for the task description (or all candidates are filtered out as off-topic), or if the change in step 4 turns out to be non-trivial in a way that has no obvious resolution without a dedicated skill/agent, emit ONE capability_gap event before returning control to the user. This feeds Phase 29 Stage-0 telemetry - the reflector pattern-detection pass (Plan 29-02) and aggregation (Plan 29-03) read these events from the chain file (.design/gep/events.jsonl) to surface recurring capability gaps in {{command_prefix}}apply-reflections.

Synchronous emitter call (via Bash):

bash
node -e '
const { appendChainEvent } = require("./scripts/lib/event-chain.cjs");
const { createHash, randomUUID } = require("node:crypto");
const intent = process.env.GDD_INTENT || "";
const payload = {
  event_id: randomUUID(),
  parent_event_id: null,
  source: "fast",
  context_hash: createHash("sha256").update(intent).digest("hex"),
  intent_summary: intent.slice(0, 256),
  suggested_kind: "skill",
  evidence_refs: [],
};
appendChainEvent({
  agent: "fast",
  outcome: "capability_gap",
  payload,
  type: "capability_gap",
  timestamp: new Date().toISOString(),
  sessionId: process.env.GDD_SESSION_ID || "fast-cli",
});
'

Notes:

  • evidence_refs is empty [] for fast (no trajectory in {{command_prefix}}fast - that path is too lean by design).
  • parent_event_id is null (root event for the fast bail-out).
  • suggested_kind is "skill" because fast bail-outs are usually narrow primitives, not multi-step workflows. Plan 29-03's aggregator may upgrade to "agent" if a context_hash cluster shows multi-step usage.
  • The emitter MUST NOT block - appendChainEvent already swallows IO errors via its existing try/catch (see scripts/lib/event-chain.cjs:97-105).
  • The 7-field payload is preserved verbatim through appendChainEvent's opaque-extras pattern; the chain row carries type, timestamp, sessionId, payload as opaque caller-supplied fields and is projected back to the events-schema envelope shape by readers (Plan 29-03 aggregator).

Trigger conditions:

  • Trigger 1: Step 2 returns zero candidate files for the task description (target is genuinely missing).
  • Trigger 2: Step 2 returns more than 2 candidates AND the user bail-out in step 2 fires (stop and ask).
  • Trigger 3: Step 4 reveals the change is non-trivial in a way that has no obvious primitive resolution (the ## Do Not "Do not proceed" line fires).

MCP-probe failures (connection down, transport-layer errors) do NOT emit capability_gap - those are Phase 22 connection-status concerns (D-08).

FAST COMPLETE

Frequently asked questions

What does the Gdd Fast AI skill do?

Trivial inline design task. No subagents, no planning documents, no pipeline stages. Just do the thing described. Activates for requests involving a single quick design fix, a one-shot change, or a fast targeted edit.

Why use Gdd Fast on TypingMind?

Because you install it once and use it with any model. Gdd Fast is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Gdd Fast in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hegemonart/get-design-done/tree/main/scripts/skill-templates/fast. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Gdd Fast?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Gdd Fast?

As many as you like. As long as a model supports skills, you can use Gdd Fast with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Gdd Fast AI skill free?

Yes. It is published on GitHub by hegemonart under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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