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Agent skill

Seed Conventions

by danielvm-git in danielvm-git/bigpowers

Generate CLAUDE.md and CONVENTIONS.md for a brand-new project through a brief interview, and create the specs/ directory with evolved bigpowers structure (product/, tech-architecture/…

MITAuto-check passedAgent Workflows

Install Seed Conventions

skills CLI
$ npx skills add danielvm-git/bigpowers --skill seed-conventions -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install danielvm-git/bigpowers seed-conventions --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/danielvm-git/bigpowers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/seed-conventions .claude/skills/seed-conventions && rm -rf skills-src

Use ~/.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/

Facts

Skill name
seed-conventions
GitHub stars
257
Token cost
~1.7k tokens
SKILL.md length
643 words
Files
2
Skills in repo
39
Repo updated
First seen
Licence
MIT

At a glance

Generate CLAUDE.md and CONVENTIONS.md for a brand-new project through a brief interview, and create the specs/ directory with evolved bigpowers structure (product/, tech-architecture/…

  • Works in 2 steps: Project name and one-sentence… → Stack — "What language, framework, and…
  • Starting a new project from scratch
  • SKILL.md covers What this creates, Interview, Agentic STE for generated… and Generate files
  • Calls bash

What it does

Seed Conventions is an agent skill from danielvm-git/bigpowers. Generate CLAUDE.md and CONVENTIONS.md for a brand-new project through a brief interview, and create the specs/ directory with evolved bigpowers structure (product/, tech-architecture/, verifications/, epics/archive/). Entry point for greenfield projects. Use when starting a new project from scratch, when user asks to set up AI agent conventions, or when there is no CLAUDE.md yet.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `REFERENCE.md`).

It sits in Agent Workflows, covering Agent instruction files and User stories. The repository describes itself as: Agent skills synthesizing years of software engineering discipline into a prescriptive methodology for solo developers. The licence is MIT.

When your agent uses it

  • Starting a new project from scratch
  • User asks to set up AI agent conventions
  • There is no CLAUDE.md yet

Example prompts

  • “/seed-conventions”

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. Project name and one-sentence description — "What is this project? One sentence."
  2. Stack — "What language, framework, and runtime? (e.g. TypeScript / Next.js / Node 22)"

What it can do on your machine

Read from SKILL.md and the folder at commit 812d57a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • bash

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Seed Conventions loads about 1.7k tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 643 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~100
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated 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.

SKILL.md

The full file from danielvm-git/bigpowers at commit 812d57a, republished under its MIT licence (© danielvm-git). 643 words, ~1,652 tokens.

Download SKILL.mdSave it as .claude/skills/seed-conventions/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
seed-conventions
description
Generate CLAUDE.md and CONVENTIONS.md for a brand-new project through a brief interview, and create the specs/ directory with evolved bigpowers structure (product/, tech-architecture/, verifications/, epics/archive/). Entry point for greenfield projects. Use when starting a new project from scratch, when user asks to set up AI agent conventions, or when there is no CLAUDE.md yet.
model
sonnet
effort
standard

story: e10s01

story: e47s02

story: e10s02

story: e51s02

story: e45s21

story: e79s03

Seed Conventions

HARD GATE — Before any new code lands, confirm the project conventions are understood. Ask: 'What does a good commit message look like in this project?'

Bootstrap a new project with the AI agent conventions it needs. Run this once at the start of a greenfield project.

What this creates

  • CLAUDE.md — Claude Code session config (project-specific)
  • CONVENTIONS.md — shared rules for all AI agents
  • specs/ — the specs directory where all planning output will live
  • AGENTS.md — for OpenCode and other agents (optional)
  • GEMINI.md — for Gemini CLI (optional)

Interview

Ask the user these questions (one at a time, wait for each answer):

  1. Project name and one-sentence description — "What is this project? One sentence."
  2. Stack — "What language, framework, and runtime? (e.g. TypeScript / Next.js / Node 22)" 2b. Stack profile (optional) — Offer: swift, typescript-vue, node-service, or none. If chosen, merge the matching fragment from profiles/<name>.md into generated CONVENTIONS.md.
  3. Commands — "What commands do you use for: run, test, build, lint?" 3b. Preflight (optional) — "What command runs test, lint, and build together? If none, chain Test + Lint + Build into one Preflight row."
  4. Architecture — "Key modules and relationships in 1–2 sentences."
  5. Conventions — "Any naming, file organization, or patterns all agents must follow?"
  6. Never-do list — "What are the hard stops? Things an agent must never touch?"
  7. Defensive code categories — "Which apply? (Rate limit / Retry / Circuit breaker / Timeout / Graceful degradation)"
  8. Local tool wiring (optional) — "Wire bigpowers for project-local tools? (Cursor, OpenCode, Cline, Aider, Codex CLI)" If yes, generate AGENTS.md spine artifacts per REFERENCE.md §Local tool wiring and §AGENTS.md spine. If no, skip — standard seed output unchanged (no AGENTS.md spine unless opted in).

Agentic STE for generated prose (e79s03)

When writing instructional lines in CLAUDE.md, AGENTS.md, or CONVENTIONS.md, follow AGENTIC-STE.md:

  • Use directive vocabulary: MUST, MUST NOT, NEVER, ALWAYS, DO, DO NOT
  • Do NOT use hedge modals listed in AGENTIC-STE.md Rule 3
  • Cap each instruction sentence at 20 words
  • Write imperative, active-voice lines — one instruction per line
  • Do NOT apply Agentic STE to terse-mode (output compression is out of scope)

After generation, run bash scripts/validate-agentic-ste.sh --strict CLAUDE.md CONVENTIONS.md when those files exist in the target project.

Show full SKILL.md (279 more words)Show less

Generate files

After the interview, generate each file using the templates in REFERENCE.md:

  • AGENTS.md — from docs/templates/AGENTS.md Reach Template (canonical spine source)
  • CLAUDE.md — symlink to AGENTS.md (copy fallback on Windows when symlink fails)
  • GEMINI.md — symlink to AGENTS.md when Gemini wiring opted in
  • opencode.json — with "instructions": ["AGENTS.md"] when OpenCode opted in
  • .aider.conf.yml — with read: AGENTS.md when Aider opted in
  • CONVENTIONS.md — bigpowers standard template + project defensive code categories
specs/ directory
bash
mkdir -p specs/product specs/product/snapshots specs/epics/archive
mkdir -p specs/tech-architecture specs/adr specs/verifications specs/bugs
touch specs/product/SCOPE_LATEST.yaml specs/product/VISION_LATEST.yaml specs/product/GLOSSARY_LATEST.yaml
touch specs/release-plan.yaml specs/execution-status.yaml specs/planning-status.yaml specs/state.yaml
touch specs/tech-architecture/tech-stack.md specs/tech-architecture/SECURITY_PLAN_LATEST.md
touch specs/tech-architecture/TEST_PLAN_LATEST.md specs/tech-architecture/DESIGN_PLAN_LATEST.md
touch specs/tech-architecture/REFACTOR_LATEST.md specs/tech-architecture/IMPACT_LATEST.md
touch specs/bugs/registry.yaml
echo "# Specs\n\nAll planning documents for this project." > specs/README.md

Note: specs/state.yaml.lock is NOT pre-created — acquired/released dynamically.

specs/state.yaml carries top-level workflow_mode (team-pr | solo-git, default solo-git). This is the canonical integrate-mode signal for all skills. Set it once here. Skills such as release-branch read this file instead of sniffing profiles.

When generating CLAUDE.md, chain Test + Lint + Build into one Preflight row if the user named no Preflight command.

Self-installing fenced markers (e45s21)

Skills that write into CLAUDE.md or AGENTS.md MUST use fenced HTML comment markers so handwritten content outside the fence is never clobbered:

markdown
<!-- BEGIN bigpowers:section-id -->
…agent-managed content only…
<!-- END bigpowers:section-id -->

Merge rule: On update, replace only content between matching BEGIN/END pairs. If a marker pair is missing, append a new fenced block at file end. Never rewrite the whole file.

Standard marker IDs for seeded projects (see REFERENCE.md § Fenced markers):

Marker IDOwner skillPurpose
projectseed-conventionsProject, Commands, Architecture
context-routingseed-conventionsGlob → sub-AGENTS.md routing table
learned-preferencessession-stateLearned User Preferences + Workspace Facts
toolingsetup-environment, guard-gitsqz/rtk/hook blocks installed by tooling skills

Emit these fences in AGENTS.md (and therefore CLAUDE.md symlink) from docs/templates/AGENTS.md. User prose outside fences is sacred.

  • CLAUDE.md exists and is populated
  • CONVENTIONS.md exists and includes specs/ output convention
  • specs/product/ exists with SCOPE_LATEST.yaml, VISION_LATEST.yaml, GLOSSARY_LATEST.yaml
  • specs/tech-architecture/ exists with tech-stack.md, security.md, test.md, design.md
  • specs/verifications/ exists
  • specs/epics/archive/ exists
  • specs/bugs/registry.yaml exists
  • Confirm with user: "Does CLAUDE.md accurately describe your project?"

© danielvm-git, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/seed-conventions of danielvm-git/bigpowers.

  • SKILL.md
  • REFERENCE.md

Open the folder on GitHubat commit 812d57a

Compare with similar skills

Seed Conventions 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.

Seed Conventions compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Seed Conventions this skilldanielvm-git/bigpowers257—~1.7kAutomated safety check: PassMIT
Revieweraiskillstore/marketplace4301 repos~1.3kAutomated safety check: PassNone
Using Agent Skillsaddyosmani/agent-skills103k4 repos~2.4kAutomated safety check: PassMIT
Claude ReflectBayramAnnakov/claude-reflect1.7k2 repos~627Automated safety check: PassMIT
Writing For Agentsbestofjs/bestofjs3.1k19 repos~2.7kAutomated safety check: PassMIT
Neat-Freak Knowledge CloseoutKKKKhazix/khazix-skills21k—~1.9kAutomated safety check: PassMIT

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Categories

Questions about Seed Conventions

What does Seed Conventions do?

Generate CLAUDE.md and CONVENTIONS.md for a brand-new project through a brief interview, and create the specs/ directory with evolved bigpowers structure (product/, tech-architecture/…. Seed Conventions is an agent skill from danielvm-git/bigpowers.md for a brand-new project through a brief interview, and create the specs/ directory with evolved bigpowers structure (product/, tech-architecture/, verifications/, epics/archive/).

When should I use Seed Conventions?

Seed Conventions fits situations like: starting a new project from scratch; user asks to set up AI agent conventions; there is no CLAUDE.md yet.

How do I install Seed Conventions in Claude Code?

Run `npx skills add danielvm-git/bigpowers --skill seed-conventions -a claude-code`. Or copy the skill folder (skills/seed-conventions in danielvm-git/bigpowers) into .claude/skills/seed-conventions in your project. Claude Code loads it when a task matches its description.

How do I install Seed Conventions in Codex?

Run `npx skills add danielvm-git/bigpowers --skill seed-conventions -a codex`. Or copy the skill folder (skills/seed-conventions in danielvm-git/bigpowers) into .agents/skills/seed-conventions in your project. Codex loads it when a task matches its description.

Can I use Seed Conventions in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add danielvm-git/bigpowers --skill seed-conventions -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/seed-conventions, .gemini/skills/seed-conventions, .github/skills/seed-conventions and .opencode/skills/seed-conventions in your project.

What does Seed Conventions need to run?

Going by SKILL.md and its folder, Seed Conventions needs the command-line tools its instructions call (bash).

Does Seed Conventions access the network?

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.

Is Seed Conventions safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Seed Conventions use?

Seed Conventions is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Seed Conventions use?

About 1.7k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Seed Conventions?

Skills that share tags, products or a category with Seed Conventions: Reviewer (aiskillstore/marketplace, 430 stars), Using Agent Skills (addyosmani/agent-skills, 103k stars), Claude Reflect (BayramAnnakov/claude-reflect, 1.7k stars) and Writing For Agents (bestofjs/bestofjs, 3.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Seed Conventions?

danielvm-git (a GitHub user) maintains it in danielvm-git/bigpowers, which has 257 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on September 21, 2026.

Source: danielvm-git/bigpowers on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.