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Adhoc

Community
drobins25
adhoc

Adhoc workflow for small targeted changes to existing behavior or appearance, without the full story ceremony. Use when the orchestrator encounters a bug with a clear root cause and surgical solution, OR a small enhancement to something already built (a different icon, wording, spacing, color). Triggers on: 'fix this', 'this is broken', 'the alignment is off', 'that button doesn't work', 'quick fix', 'patch this', 'tweak this', 'change the icon', 'adjust the wording', post-story corrections, or any situation where the write gate blocks a small targeted change. Acts NOW - a defect to file and fix later belongs in /craft:bugs, other deferred work in the notebook. Do NOT use for new features, design exploration, or changes requiring creative spark.

Overview

Publisherdrobins25
Repositorycraft
Skill nameadhoc
Stars
69
Forks
6
Bundled files
2
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by drobins25 on GitHub. Read the source before you install it.

Installation

Install the Adhoc 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/drobins25/craft/tree/main/skills/adhoc
  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/drobins25/craft.git /tmp/craft
mkdir -p .claude/skills
cp -r /tmp/craft/skills/adhoc .claude/skills/adhoc
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Adhoc 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 Adhoc 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 Adhoc 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.

Adhoc

You are the orchestrator making a small targeted change. No implementer agent, no chunks, no story ceremony. Adhoc work comes in two flavors: a fix (something is broken and you can see why) and a tweak (something works as built, but the user wants it different). This shell classifies which one you're holding, then runs the matching flow from its reference file.

Why This Exists

The full story ceremony is right for features and complex work. But when a button doesn't respond - or a shipped icon just isn't the one the user wants - spinning up that machinery wastes time and adds no value. Fixes and tweaks need different treatment: a fix is gated on root-cause confidence ("will it work"), a tweak on visual fit ("will it fit"). Both leave permanent records for pattern analysis, in separate corpora.

Step 1: Guard Rails

Active story check: If CURRENT_STORY is set in .global-state, warn: "There's an active story ([name]). Apply this change within that story's scope, or complete/pause the story first." Do not set CRAFT_WRITE_ENABLED if it's already set by a story - that would create overlapping write sessions.

No new features: Adhoc work changes something that already exists. If the solution adds something that wasn't there before (a new component, a new API endpoint, a new element on the page), it's a story.

No design exploration: If the change requires choosing between creative directions, it's a story (or design-vibe). Adhoc executes a known intent.

Step 2: Classify - Fix or Tweak

Apply the tie-breaker:

  • Fix: the change restores something that used to work, or makes behavior match a stated spec. There is a symptom and a root cause. ("The button doesn't respond." "Font weights render wrong.")
  • Tweak: the change alters something working as built because it doesn't look or read right. Nothing is broken; taste or intent changed. ("I want a different icon." "That heading is too loud.")
  • Ambiguous from the words alone ("the icon looks wrong", "this card looks bad"): look before asking. Screenshot or inspect the target first - broken-in-evidence (clipped, overflowing, misaligned, regressed) classifies as a fix; renders-as-built-but-displeasing classifies as a tweak. Ask the user only if the evidence doesn't settle it. Never silently pick a lane on a guess. Keep the shot: it becomes the fix path's symptom evidence or the tweak path's before-shot.

Step 3: Open the Gate

bash
# Open the write gate
${CLAUDE_PLUGIN_ROOT}/hooks/scripts/update-global-state.sh CRAFT_WRITE_ENABLED "true" "${CRAFT_PROJECT_ROOT:-.}"

# Safety marker - session-start.sh clears orphans
echo "$(date -u +%Y-%m-%dT%H:%M:%S)" > "${CRAFT_PROJECT_ROOT:-.}/.craft/.active-fix"

Create the close-obligation task pair so the open gate stays visible even if the conversation drifts:

  1. TaskCreate - "Adhoc [fix|tweak]: [brief description]" - set in_progress.
  2. TaskCreate - "Close write gate" (description: "Set CRAFT_WRITE_ENABLED='' after the adhoc work is done.") - set addBlockedBy to the work task's ID.

The gate stays open for the whole work thread - including follow-up requests and tweak attempt loops. The pending "Close write gate" task is the closure obligation.

Step 4: Run the Flow

Read the matching reference file and execute it inline (never via the Skill tool):

  • Fix -> Read ${CLAUDE_PLUGIN_ROOT}/skills/adhoc/references/fix.md
  • Tweak -> Read ${CLAUDE_PLUGIN_ROOT}/skills/adhoc/references/tweak.md

The reference owns the record file, the gate question (confidence vs fit), the edits, and validation. It hands back here for each commit.

Soft scope check (both flavors): If you find yourself touching 5+ files, pause and tell the user: "This is touching [N] files - that's getting bigger than a typical adhoc change. Want me to continue or create a story?" Let them decide.

Step 5: Commit

Runs after each validated set of edits (a fix's single pass, or each tweak attempt). Stage ONLY the files the change touched - never the whole tree. The staged set comes from the record file's files_changed; if that list is empty or stale, fall back to git diff --name-only HEAD so real changes are never silently dropped.

bash
cd "${CRAFT_PROJECT_ROOT:-.}"

# Stage each file from the record's files_changed list
git add -- [path from files_changed] [path from files_changed] ...

# Fallback ONLY if files_changed is empty or 0: stage the tracked changes
# git diff --name-only HEAD | while IFS= read -r f; do git add -- "$f"; done

git diff --cached --quiet || git commit -m "fix: [short description]" --no-verify

Do NOT use git add -A or git add . - either would sweep unrelated untracked files (scratch files, local configs, secrets) into the commit.

Commit message prefix: fix: for fixes, tweak: for tweaks. Example: tweak: settings icon swapped to hammer, matching toolbar stroke weight.

Step 6: Close the Gate

At thread end - the fix validated, or the tweak record reached accepted/abandoned/escalated, or the user has visibly moved on:

bash
# Close the write gate
${CLAUDE_PLUGIN_ROOT}/hooks/scripts/update-global-state.sh CRAFT_WRITE_ENABLED "" "${CRAFT_PROJECT_ROOT:-.}"

# Remove safety marker
rm -f "${CRAFT_PROJECT_ROOT:-.}/.craft/.active-fix"

Then complete both tasks (work task, then "Close write gate").

A tweak record left status: open does NOT keep the gate open - the record's openness is bookkeeping in .craft/tweaks/; the gate closes with the thread. Cross-session state lives ONLY in the record.

Todo Satisfaction Detection

Adhoc work sometimes does exactly what an open notebook todo asked for - and today nobody notices, so the todo stays open forever. This section defines the shared detection mechanism ONCE; both flavor references point here and own only their consent surface (fix.md Step 7, tweak.md Step 2 + Step 3).

When it runs: at record-write time, on every fix and every tweak. Always-on - never judgment-gated, and never a codebase scan. One cheap call:

bash
bash ${CLAUDE_PLUGIN_ROOT}/hooks/scripts/notebook-list.sh todos

The match is a semantic content judgment, not a string match: does the work this record describes satisfy what the todo asks for? It is the same read the notebook's graduate/done flows already make (commands/craft-notebook.md, Lifecycle Trigger Framework). Judge the record's subject - a fix's symptom/root cause, a tweak's request/surface - against each open todo's PREVIEW.

Named-referent discipline, by match arity (ported from craft-notebook.md; the silent-close prohibition carries over unchanged):

  • Zero matches: say nothing, stamp the receipt (below), continue the flow. This is the common case and it adds zero friction.
  • Single match: name the todo by slug in the consent surface. Never silent-close.
  • Multiple plausible matches: fire a disambiguation AskUserQuestion FIRST ("Which todo does this satisfy?", options labeled by slug + date), then proceed with the picked one. One todo per record, by design - disambiguation resolves to ONE; a second genuinely-satisfied todo is a separate manual close, never an implicit one.

The close call (only after the flavor's consent surface says yes):

bash
bash ${CLAUDE_PLUGIN_ROOT}/hooks/scripts/notebook-done.sh "<todo-file>" "<record-name>"

<todo-file> is the FILE the list emitted for the matched todo; <record-name> is this record's name: frontmatter value. It lands in the todo's graduated_to: - the same generic artifact ref the notebook graduate flow writes.

The receipt - stamped on EVERY run: write satisfied_todo: into the record's frontmatter at the beat, every time it runs:

  • satisfied_todo: <todo-slug> when a todo was closed
  • satisfied_todo: none-matched when the beat ran and nothing closed (zero matches, declined consent, or abandoned disambiguation)

A record whose satisfied_todo: is missing or empty means the beat never fired - an auditable skip, not a valid state. (Mirrors the mockup record's stamp-every-beat schema.)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Adhoc AI skill do?

Adhoc workflow for small targeted changes to existing behavior or appearance, without the full story ceremony. Use when the orchestrator encounters a bug with a clear root cause and surgical solution, OR a small enhancement to something already built (a different icon, wording, spacing, color). Triggers on: 'fix this', 'this is broken', 'the alignment is off', 'that button doesn't work', 'quick fix', 'patch this', 'tweak this', 'change the icon', 'adjust the wording', post-story corrections, or any situation where the write gate blocks a small targeted change. Acts NOW - a defect to file an...

Why use Adhoc on TypingMind?

Because you install it once and use it with any model. Adhoc 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 Adhoc in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/drobins25/craft/tree/main/skills/adhoc. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Adhoc?

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 Adhoc?

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

Is the Adhoc AI skill free?

Yes. It is published on GitHub by drobins25 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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