Add Seed Skills logo

Add Seed Skills

Community
PramodDutta
add-seed-skills

Use when adding or editing QA skills in seed-skills/ or getting them onto the live qaskills.sh catalog, e.g. "add N new skills", "create a seed skill for X", "seed the database", "the skill page is empty", "skill 404s on the site".

Overview

PublisherPramodDutta
Repositoryqaskills
Skill nameadd-seed-skills
Stars
239
Forks
31
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 PramodDutta on GitHub. Read the source before you install it.

Installation

Install the Add Seed Skills 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/PramodDutta/qaskills/tree/main/.claude/skills/add-seed-skills
  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/PramodDutta/qaskills.git /tmp/qaskills
mkdir -p .claude/skills
cp -r /tmp/qaskills/.claude/skills/add-seed-skills .claude/skills/add-seed-skills
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Add Seed Skills 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 Add Seed Skills 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 Add Seed Skills 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.

Add Seed Skills

Pipeline: seed-skills/<slug>/SKILL.md -> validator -> seed.ts upsert into the PROD database -> live catalog. These are PRODUCT catalog skills (Zod schema with testingTypes/languages), not Claude Code workflow skills; never confuse the two formats.

Format contract (parser reality)

packages/web/src/db/seed.ts parses frontmatter with regex, not a YAML library:

  • Every value on ONE line; a wrapped description parses as truncated garbage
  • Arrays INLINE ONLY: tags: [a, b, c]. YAML block lists (- item) parse as EMPTY arrays
  • Zod limits: name 1-100 chars, description 10-500 chars, version semver, testingTypes >= 1, languages >= 1
  • Allowed values come from packages/shared/src/constants/ (testing types, frameworks, languages, domains, agent slugs); check there before inventing one

Template (model the body on seed-skills/playwright-e2e/SKILL.md):

markdown
---
name: Human Readable Skill Name
description: One line, 10-500 chars, what the skill teaches an agent to do.
version: 1.0.0
author: thetestingacademy
license: MIT
tags: [tag-one, tag-two]
testingTypes: [e2e]
frameworks: [playwright]
languages: [typescript]
domains: [web]
agents: [claude-code, cursor, github-copilot, windsurf, cline]
---

# Skill Title

Real instructions: principles, project structure, code samples, checklists.
This body becomes fullDescription: it renders on the skill page and is what
the CLI downloads. Aim for 100+ lines of substance; an empty or thin body
is a broken product page.

Steps

1. Dedup the slug (directory name = slug)

bash
ls /Users/promode/qaskills/seed-skills | grep -i "<core-term>"
curl -s -o /dev/null -w '%{http_code}\n' "https://qaskills.sh/api/skills/<slug>"   # want 404

2. Write seed-skills/<slug>/SKILL.md

Frontmatter per the contract above, then the full body.

3. Validate every file

bash
cd /Users/promode/qaskills
pnpm --filter @qaskills/shared build && pnpm --filter @qaskills/skill-validator build
for d in <slug-one> <slug-two>; do
  node packages/skill-validator/dist/cli.js "seed-skills/$d/SKILL.md" || echo "INVALID: $d"
done

Also eyeball that arrays are inline and the description is one line (the validator uses the real YAML parser and can pass files the seed regex still mangles).

4. Seed PRODUCTION (the dangerous step)

Never use the DATABASE_URL from .env.local. It points at a stale non-prod database; seeding it changes nothing on the live site. This mistake has burned a full session before.

  1. Baseline: curl -s 'https://qaskills.sh/api/skills?limit=1' and record the top-level total.
  2. Get the prod URL: run vercel env pull .env.vercel-prod --environment=production yourself (worked from the agent as of 2026-07-07; the file is gitignored). If the pull is blocked, ask the user to run that exact command and wait.
  3. Seed with the explicit URL (strip any surrounding quotes from the value):
bash
cd /Users/promode/qaskills
export DATABASE_URL='<prod-url-without-quotes>'
pnpm --filter @qaskills/web db:seed

seed.ts is an upsert (onConflictDoUpdate on skills): safe to re-run, it will not delete the live rows that exist only in prod. Never substitute custom SQL, and never run UPDATE/DELETE against prod without explicit user approval.

5. Verify live (the only proof that counts)

bash
curl -s 'https://qaskills.sh/api/skills?limit=1'                       # total must equal baseline + N
curl -s "https://qaskills.sh/api/skills/<slug>/content" | head -20     # frontmatter + body, not empty
curl -s -o /dev/null -w '%{http_code}\n' "https://qaskills.sh/skills/thetestingacademy/<slug>"  # 200 (adjust author segment if different)

total unchanged, or slug 404s => you seeded the wrong database. STOP. Do not retry blindly; re-verify which URL was exported and report the mismatch.

6. Commit

bash
git -C /Users/promode/qaskills add seed-skills/<slug-one> seed-skills/<slug-two>
git -C /Users/promode/qaskills commit -m "feat(skills): add <N> <theme> seed skills"
git -C /Users/promode/qaskills push origin main

No web redeploy is needed for catalog changes (pages read the DB), but commit so the repo stays the source of truth.

Failure modes

SymptomCauseFix
Skill live but tags/types emptyBlock-list arrays or multi-line values in frontmatterConvert to inline arrays, single lines, re-seed
Skill page renders only the short descriptionMissing/empty markdown bodyWrite the body, re-seed (upsert refreshes fullDescription)
Live total did not growSeeded the stale .env.local DBStep 4.2, re-seed with the real prod URL
Validator passes but seed drops fieldsValidator parses real YAML, seed.ts regex does notObey the format contract, not just the validator
Connection error on seedQuoted URLStrip the quotes from DATABASE_URL (Node 24 is fine: the seeder uses the Neon HTTP path)

Red flags

  • Exporting DATABASE_URL from .env.local "because it is right there"
  • Skipping the baseline/after total comparison
  • Frontmatter-only SKILL.md ("body later")
  • Writing DELETE/UPDATE SQL to "fix" prod data

Frequently asked questions

What does the Add Seed Skills AI skill do?

Use when adding or editing QA skills in seed-skills/ or getting them onto the live qaskills.sh catalog, e.g. "add N new skills", "create a seed skill for X", "seed the database", "the skill page is empty", "skill 404s on the site".

Why use Add Seed Skills on TypingMind?

Because you install it once and use it with any model. Add Seed Skills 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 Add Seed Skills in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/PramodDutta/qaskills/tree/main/.claude/skills/add-seed-skills. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Add Seed Skills?

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 Add Seed Skills?

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

Is the Add Seed Skills AI skill free?

Yes. It is published on GitHub by PramodDutta 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 👇