Help logo

Help

Community
yonatangross
help

OrchestKit help directory with categorized skill listings. Use when discovering skills for a task, finding the right workflow, or browsing capabilities.

Overview

Publisheryonatangross
Repositoryorchestkit
Skill namehelp
Stars
298
Forks
35
Bundled files
5
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.

  • 5 bundled files

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

  • Open source

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

Installation

Install the Help 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/yonatangross/orchestkit/tree/main/plugins/ork/skills/help
  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/yonatangross/orchestkit.git /tmp/orchestkit
mkdir -p .claude/skills
cp -r /tmp/orchestkit/plugins/ork/skills/help .claude/skills/help
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Help 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 Help 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 Help 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.

OrchestKit Skill Directory

Dynamic skill discovery: enumerates the installed plugin at runtime so listings are never stale.

CC 2.1.121+ tip: if you just want to find one skill quickly, the native /skills command now has type-to-filter — open it and start typing the skill name. Use help when you want categorized browsing or rationale for why a skill applies.

Quick Start

bash
help           # Show all categories
help build     # Show BUILD skills only
help git       # Show GIT skills only
help all       # List every user-invocable skill

Argument Resolution

python
CATEGORY = "$ARGUMENTS[0]"  # Optional: build, git, plan, quality, memory, config, explore, design, ops, all
# If provided, skip AskUserQuestion and show that category directly.
# $ARGUMENTS is the full string (CC 2.1.59 indexed access)

STEP 0: Dynamic Skill Discovery

ALWAYS run this first to get accurate, up-to-date skill data:

python
# ${CLAUDE_PLUGIN_ROOT} is set by the plugin runtime and points at the INSTALLED
# plugin. That is the normal case: a marketplace user has no src/ directory.
SKILLS_ROOT = "${CLAUDE_PLUGIN_ROOT}/skills"
matches = Grep(pattern="user-invocable:\\s*true", path=SKILLS_ROOT, output_mode="files_with_matches")

# Dogfooding fallback: inside the OrchestKit repo itself the skills live in the
# source tree. Retry there if the env var was unset or the probe found nothing.
if not matches:
    SKILLS_ROOT = "src/skills"
    matches = Grep(pattern="user-invocable:\\s*true", path=SKILLS_ROOT, output_mode="files_with_matches")

If BOTH probes return zero files, say so plainly ("could not locate the OrchestKit skills directory, checked ${CLAUDE_PLUGIN_ROOT}/skills and src/skills") and stop. Do NOT substitute a remembered list of skill names. Any such list is stale by construction and a confident wrong answer is worse than no answer.

For each matched file, read the frontmatter to get name, description, version, complexity, argument-hint and tags:

python
Read(file_path=f"{SKILLS_ROOT}/{skill_dir}/SKILL.md", limit=25)

Every number rendered later is derived from this scan, never typed as a literal:

python
TOTAL = len(matches)   # user-invocable skill count

Build the skill list dynamically. Never hardcode counts or skill names.


STEP 1: Category Selection

If CATEGORY argument provided, skip to STEP 2 with that category.

Otherwise, present categories interactively:

python
AskUserQuestion(
  questions=[{
    "question": "What type of task are you working on?",
    "header": "Category",
    # 4-option cap (CC schema): every category from STEP 2 is grouped into one of
    # 3 buckets + "Show all". STEP 2 renders the constituent categories for the
    # picked bucket. Descriptions name intents, never skills, so they cannot drift.
    "options": [
      {"label": "Build & ship", "description": "Writing code, tests, git and PRs, UI and design work"},
      {"label": "Plan & assess", "description": "Requirements, planning, quality assessment, review"},
      {"label": "Explore & operate", "description": "Codebase exploration, memory, setup, diagnostics, CI"},
      {"label": "Show all", "description": "List every user-invocable skill"}
    ],
    "multiSelect": false
  }]
)

STEP 2: Render Category

For the selected category, render the skill table from the data gathered in STEP 0.

Category Definitions

Categories are defined by tag predicates, never by a list of skill names, so a newly shipped skill lands in the right bucket without editing this file. Match each discovered skill's frontmatter tags against the sets below (case-insensitive, one hit is enough):

CategoryCLI argMatches any of these tags
BUILDbuildimplementation, feature, testing, coverage, test-generation, verification, e2e
GITgitgit, github, commit, pull-request, pr, issue, bug-fix
PLANplanplanning, ideation, prd, requirements, visualization
QUALITYqualityquality, assessment, evaluation, code-review, validation, grading
MEMORYmemorymemory, decisions, graph-memory, consolidation
CONFIGconfigsetup, configuration, onboarding, diagnostics, health-check, dev-loop
EXPLOREexploreexploration, codebase, code-search, architecture, discovery
DESIGNdesigndesign, design-context, design-tokens, design-to-code, frontend, ui, components, stylecards
OPSopsci, automation, telemetry, observability, release, migration
OTHER(none)anything the rows above did not match

A skill matching two categories is listed under both. That is expected, not a bug. OTHER is what makes the totals reconcile: every skill found in STEP 0 must appear somewhere in a full listing, so a skill nobody has categorized yet still shows up.

The STEP 1 picker only offers 3 buckets (the AskUserQuestion schema caps a question at 4 options). Each bucket renders the union of its categories:

Picker bucketRenders categories
Build & shipBUILD + GIT + DESIGN
Plan & assessPLAN + QUALITY
Explore & operateMEMORY + CONFIG + EXPLORE + OPS + OTHER

For each skill in the category, render:

/ork:{name}  v{version}  {complexity}
  {description}
  Example: /ork:{name} {argument-hint example}

"Show all" — Full Listing

If user picks "Show all", render ALL user-invocable skills grouped by category from STEP 0 data, then close with the derived total: {TOTAL} user-invocable skills. Print TOTAL from len(matches). Never type a number you did not just count.


CC Built-in Commands (2.1.72+)

Not OrchestKit skills — these are Claude Code built-ins:

CommandDescriptionSince
/code-reviewReview changed code for correctness bugs at a chosen effort level; --comment posts inline PR comments (renamed from /simplify in 2.1.146; the old cleanup-and-fix behavior was removed)CC 2.1.146
/helpClaude Code built-in helpCC 2.1.0+
/configClaude Code configurationCC 2.1.0+
/clearClear conversation (preserves background agents)CC 2.1.72
/fastToggle fast mode (same model, faster output)CC 2.1.59+
/loopRecurring interval (e.g. /loop 5m /foo)CC 2.1.71
/planEnter plan mode (CC 2.1.222 removed the ultraplan feature, so /ultraplan and the "Refine with Ultraplan" hand-off no longer exist)CC 2.1.72
/team-onboardingGenerate teammate ramp-up guideCC 2.1.101
/recapSession context restoration after idleCC 2.1.108
/undoAlias for /rewindCC 2.1.108
/skillsNative skill picker — type to filterCC 2.1.121
/effortReasoning effort — sets $CLAUDE_EFFORT env for skillsCC 2.1.72 (env var since 2.1.120)
/cdMove session to a new working directory without breaking the prompt cacheCC 2.1.169
--safe-modeStart with ALL customizations disabled (troubleshooting bisect)CC 2.1.169 (flag/env, not a slash command)

Performance Tips

  • ENABLE_PROMPT_CACHING_1H=1 — Extends prompt cache TTL from 5 min to 1 hour. Set this for long sessions with multi-phase skills (brainstorm, implement, cover). Available on API key, Bedrock, Vertex, Foundry.
  • /recap — Restores session context after stepping away. Complements OrchestKit's checkpoint-resume for chain recovery.

Keyboard Shortcuts

ShortcutAction
Ctrl+FFind in session output
EscCancel / dismiss
Shift+EnterNewline in input
Ctrl+CCancel operation

Pro Tip

You don't need to memorize skills. Just describe your task naturally:

"I need to implement user login"     → implement
"Show me the payment architecture"   → explore
"Review PR 123"                      → review-pr
"Is this code good?"                 → assess
"Plan out the billing redesign"      → visualize-plan

Related Skills

  • /help — Claude Code built-in help
  • doctor — OrchestKit health check
  • setup — Full onboarding wizard

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 Help AI skill do?

OrchestKit help directory with categorized skill listings. Use when discovering skills for a task, finding the right workflow, or browsing capabilities.

Why use Help on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yonatangross/orchestkit/tree/main/plugins/ork/skills/help. 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 Help?

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 Help?

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

Is the Help AI skill free?

Yes. It is published on GitHub by yonatangross 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇