Vercel Composition Patterns
supabase/supabase
React composition patterns that scale. An agent skill from supabase/supabase.
Capture forward-looking idea as a seed for future feature design.
$ npx skills add notque/vexjoy-agent --skill plant-seed -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install notque/vexjoy-agent plant-seed --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/process/plant-seed .claude/skills/plant-seed && rm -rf skills-srcUse ~/.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/
Install the "plant-seed" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/process/plant-seed into .claude/skills/plant-seed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plant-seed", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/notque/vexjoy-agent/tree/main/skills/process/plant-seedType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add notque/vexjoy-agent --skill plant-seed -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install notque/vexjoy-agent plant-seed --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/process/plant-seed .agents/skills/plant-seed && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "plant-seed" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/process/plant-seed into .agents/skills/plant-seed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plant-seed", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add notque/vexjoy-agent --skill plant-seed -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install notque/vexjoy-agent plant-seed --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/process/plant-seed .cursor/skills/plant-seed && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "plant-seed" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/process/plant-seed into .cursor/skills/plant-seed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plant-seed", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/notque/vexjoy-agent.git --path skills/process/plant-seed--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add notque/vexjoy-agent --skill plant-seed -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install notque/vexjoy-agent plant-seed --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/process/plant-seed .gemini/skills/plant-seed && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "plant-seed" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/process/plant-seed into .gemini/skills/plant-seed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plant-seed", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install notque/vexjoy-agent plant-seedInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add notque/vexjoy-agent --skill plant-seed -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/process/plant-seed .github/skills/plant-seed && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "plant-seed" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/process/plant-seed into .github/skills/plant-seed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plant-seed", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add notque/vexjoy-agent --skill plant-seed -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install notque/vexjoy-agent plant-seed --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/process/plant-seed .opencode/skills/plant-seed && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "plant-seed" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/process/plant-seed into .opencode/skills/plant-seed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "plant-seed", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
plant-seedCapture forward-looking idea as a seed for future feature design.
Plant Seed is an agent skill from notque/vexjoy-agent. Capture forward-looking idea as a seed for future feature design.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development. The repository describes itself as: VexJoy AI Agent with Jev Intelligent Routing - /do routes plain-English requests to the right specialist agent and gates the work with reviews, tests, and a learning loop. The licence is MIT.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 5218674. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteBashGrepGlobEditFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are json and bash).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Plant Seed loads about 1.9k tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 831 words of instructions outside code blocks.
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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Write, Bash, Grep, Glob, EditAutomated 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.
The full file from notque/vexjoy-agent at commit 5218674, republished under its MIT licence (© notque). 831 words, ~1,870 tokens.
.claude/skills/plant-seed/SKILL.md (or your agent's skills folder).Capture forward-looking ideas with trigger conditions so they resurface at the right time. Seeds carry WHY (rationale) and WHEN (trigger), making them far more valuable than bare TODO comments.
Seeds are stored locally in .seeds/ (gitignored) and automatically surfaced during feature-lifecycle design phase when their trigger conditions match. This workflow is designed for deferred ideas only — if the user describes work that should happen now, suggest creating a task or issue instead.
Goal: Gather the idea, trigger condition, scope, and rationale from the user.
Key Constraint: This skill captures deferred ideas only. If the user describes something that should happen in the current session, suggest creating a task or issue instead. Planting a seed for immediate work means it never gets surfaced — it just gets forgotten in a different way.
Step 1: Understand the idea
Extract from the user's description:
If the user provides all three, proceed. If any are missing, ask:
For missing trigger condition:
When should this idea resurface? Describe the condition, e.g.:
- "when we add user accounts"
- "when performance optimization is needed"
- "when the API exceeds 10 endpoints"
For missing scope:
How big is this work? Small (< 1 hour), Medium (1-4 hours), or Large (4+ hours)?
For missing rationale:
Why does this matter? What's the insight behind this idea? (e.g., "Response times degrade linearly with DB calls per request -- at 10+ endpoints the shared query pattern becomes the bottleneck")
Step 2: Generate seed ID
Format: seed-YYYY-MM-DD-slug
Example: seed-2026-03-22-cache-layer
Seeds use this consistent ID format to ensure uniqueness and chronological sorting. If two seeds are planted the same day with the same slug, append -2, -3 to the slug.
Step 3: Discover breadcrumbs
Key Constraint: Breadcrumbs preserve code references from capture time. Even if the codebase evolves, these paths help the user re-orient when the seed surfaces months later. Always grep for related files at capture time.
Search the codebase for files related to the seed's topic. Use the Grep tool with 2-3 key terms from the seed's action and rationale. Collect up to 10 file paths as breadcrumbs.
If no files match, breadcrumbs can be empty — the seed is still valuable without them.
Gate: Idea captured with all required fields (action, trigger, scope, rationale). Breadcrumbs discovered. Proceed to Confirm.
Goal: Show the complete seed to the user and get approval before writing.
Present the seed:
## Seed: seed-YYYY-MM-DD-slug [Scope]
Trigger: "human-readable trigger condition"
Rationale: Why this matters...
Action: What to do when triggered...
Breadcrumbs: file1.go, file2.py, ...
Plant this seed? [yes/no/edit]Handle response:
Gate: User approved the seed. Proceed to Write.
Goal: Persist the seed to .seeds/index.json.
Key Constraint: Seeds go in .seeds/ which is gitignored — seeds are personal, not shared via version control. Different developers have different ideas and different trigger conditions; committing seeds pollutes the shared repo with personal notes.
Step 1: Ensure directory exists
mkdir -p .seeds/archivedStep 2: Read or initialize index.json
If .seeds/index.json exists, read it. Otherwise, initialize:
{
"seeds": []
}Step 3: Append seed
Add the new seed to the seeds array:
{
"id": "seed-YYYY-MM-DD-slug",
"status": "dormant",
"planted": "YYYY-MM-DD",
"trigger": "human-readable trigger condition",
"scope": "Small|Medium|Large",
"rationale": "Why this matters...",
"action": "What to do when triggered...",
"breadcrumbs": ["path/to/file1.go", "path/to/file2.py"]
}Step 4: Write updated index.json
Write the complete updated index back to .seeds/index.json.
Step 5: Confirm to user
Seed planted: seed-YYYY-MM-DD-slug [Scope]
Trigger: "condition"
Status: dormant
This seed will surface automatically during /feature-lifecycle (design phase) when the
trigger condition matches. Review all seeds with: /plant-seed "list seeds"Gate: Seed persisted to .seeds/index.json. Workflow complete.
When the user asks to "list seeds", "review seeds", or "show my seeds":
.seeds/index.json## Dormant Seeds (N total)
| ID | Scope | Trigger | Planted |
|----|-------|---------|---------|
| seed-2026-03-22-cache-layer | Medium | when the API exceeds 10 endpoints | 2026-03-22 |
| seed-2026-03-20-user-auth | Large | when we add user accounts | 2026-03-20 |Harvest: Move seed to .seeds/archived/{seed-id}.json, set status to harvested. Use when the seed's work has been incorporated into a feature.
Dismiss: Move seed to .seeds/archived/{seed-id}.json, set status to dismissed. Use when the seed is no longer relevant.
Activate: Change status from dormant to active in index.json. Use when the trigger condition has been met but work hasn't started yet.
To archive: remove the seed from index.json and write it as a standalone file to .seeds/archived/{seed-id}.json.
| Error | Cause | Solution |
|---|---|---|
.seeds/ directory doesn't exist | First seed being planted | Create directory with mkdir -p .seeds/archived |
index.json is malformed | Manual edit or corruption | Back up to index.json.bak, reinitialize with empty seeds array, warn user |
| Duplicate seed ID | Two seeds planted same day with same slug | Append -2, -3 to slug |
| No breadcrumbs found | Idea is forward-looking, no related code yet | Plant with empty breadcrumbs -- still valuable |
| User describes immediate work | Seed system is for deferred work | Suggest creating a task or doing the work now |
| Vague trigger like "someday" or "eventually" | Cannot be matched during feature-lifecycle design phase | Ask for a specific, observable condition |
| Missing rationale ("it would be nice") | Without WHY, the seed loses value when surfaced months later | Capture the specific insight or observation |
© notque, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/process/plant-seed of notque/vexjoy-agent.
Open the folder on GitHubat commit 5218674
Plant Seed 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Plant Seed this skillnotque/vexjoy-agent | 439 | — | ~1.9k | Automated safety check: Notes | MIT | |
| Vercel Composition Patternssupabase/supabase | 111k | 58 repos | ~726 | Automated safety check: Pass | MIT | |
| Finishing a Development Branchobra/superpowers | 297k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Typescript Advanced Typesrolling-scopes/rsschool-app | 10k | 25 repos | ~4.2k | Automated safety check: Pass | MPL-2.0 | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT |
supabase/supabase
React composition patterns that scale. An agent skill from supabase/supabase.
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
rolling-scopes/rsschool-app
Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications.
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
onyx-dot-app/onyx
Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.
notque/vexjoy-agent
Deterministic palette/matrix pixel art (not AI). An agent skill from notque/vexjoy-agent.
notque/vexjoy-agent
Pull request lifecycle: commit, codex review, sync, review, fix, status, cleanup, and PR mining.
notque/vexjoy-agent
Improve architecture across modules by deepening interfaces.
notque/vexjoy-agent
Code quality: cleanup, linting, formatting, quality gates. An agent skill from notque/vexjoy-agent.
notque/vexjoy-agent
Statistical rule discovery from Go codebase patterns. An agent skill from notque/vexjoy-agent.
notque/vexjoy-agent
Review and fix temporal references in code comments. An agent skill from notque/vexjoy-agent.
Categories
Capture forward-looking idea as a seed for future feature design. Plant Seed is an agent skill from notque/vexjoy-agent. Capture forward-looking idea as a seed for future feature design.
Plant Seed fits situations like: development work in your project.
Run `npx skills add notque/vexjoy-agent --skill plant-seed -a claude-code`. Or copy the skill folder (skills/process/plant-seed in notque/vexjoy-agent) into .claude/skills/plant-seed in your project. Claude Code loads it when a task matches its description.
Run `npx skills add notque/vexjoy-agent --skill plant-seed -a codex`. Or copy the skill folder (skills/process/plant-seed in notque/vexjoy-agent) into .agents/skills/plant-seed in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add notque/vexjoy-agent --skill plant-seed -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/plant-seed, .gemini/skills/plant-seed, .github/skills/plant-seed and .opencode/skills/plant-seed in your project.
SKILL.md names no scripts, command-line tools or credentials: Plant Seed is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Bash, Grep, Glob, Edit.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Plant Seed is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.9k tokens (SKILL.md is roughly 7.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Plant Seed: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 297k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
notque (a GitHub user) maintains it in notque/vexjoy-agent, which has 439 GitHub stars. The repository holds 61 skills in this directory. The repository was last updated on October 3, 2026.
Source: notque/vexjoy-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.