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Repo Scaffold · majiayu000 | DecimalAI

codingby majiayu000

Repo Scaffold

majiayu000/repo-scaffold

Source majiayu000/spellbook ↗License MIT

Scaffold or standardize a production-ready repository structure with specs, source layout, tests, CI, agent context, config examples, release notes, and operational docs.

SkillScore59Maintained

Automatic

Coding pack

Last verified 8/24/2026

What it changes

Passed 11 of 19 test cases with the skill, and 9 of 19 without it.

Without skill45%

With skill59%

Checks it passed that the model alone missed

The output fixes the YAML indentation error directly
The final step executes the repository validation command
Technical architecture specs are located in specs/TECH.md

and 2 more in the full report

4 fixed9 passed either way8 still failing1 broke

Pass-rate lift: +14 pp
Tokens: -11%
Agent turns: 0%
Response time: -40%

Model gemini-3.6-flashMeasured 8/24/2026v113 of 22 cases passed with skill · 19 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/majiayu000-repo-scaffold/SKILL.md https://app.decimal.ai/s/majiayu000-repo-scaffold/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add majiayu000-repo-scaffold, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/majiayu000-repo-scaffold/ and pins it in .decimal/skills.lock

decimalai skills add majiayu000-repo-scaffold

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/majiayu000-repo-scaffold/SKILL.md https://app.decimal.ai/s/majiayu000-repo-scaffold/SKILL.md

Raw file: /s/majiayu000-repo-scaffold/SKILL.md ↗ · machine-readable summary at /s/majiayu000-repo-scaffold.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 4

Prompt

We just finished applying the proposed scaffold files to our repository. What is the mandatory final step before concluding the implementation task?

What was checked, without and with the skill
Checked	Without skill	With skill
The final step executes the repository validation command	Missed	Passed

case-13 · gemini-3.6-flash · 8/24/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md52 linessingle file

Repo Scaffold

Purpose

Use this skill to create the repo foundation that lets product, architecture, implementation, verification, and operations stay connected. It is broader than agentsmd-scaffold; it may include AGENTS.md, but also specs, tests, CI, config, release, and runbook structure.

Search First

Before adding files, inspect the repo for existing equivalents:

rg --files -g 'AGENTS.md' -g 'CONTRIBUTING.md' -g 'README*' -g 'pyproject.toml' -g 'package.json' -g 'go.mod' -g 'Cargo.toml' -g '.github/workflows/*' -g 'docs/**' -g 'specs/**' -g 'tests/**'

Reuse existing conventions. Do not create parallel docs/, spec/, planning/, or test/ trees when the repo already has a standard location.

Scaffold Layers

Add only the layers needed for the repo:

Layer	Typical Files
Product and specs	`specs/PRODUCT.md`, `specs/TECH.md`, `docs/adr/`
Agent context	`AGENTS.md`, scoped `AGENTS.md`, local skill notes
Source layout	language-specific `src/`, `pkg/`, `cmd/`, `app/`, `lib/`
Tests	`tests/`, fixtures, golden snapshots, e2e harness
CI	`.github/workflows/ci.yml`, lint/typecheck/test jobs
Config	`.env.example`, config schema, secret inventory
Release	`CHANGELOG.md`, release checklist, versioning notes
Operations	`docs/runbooks/`, SLO and incident templates

Decision Rules

For a new repo, propose the tree first, then create files only after the user asks to apply.
For an existing repo, make the smallest additive change that closes the foundation gap.
Keep generated starter files short and executable. Prefer empty placeholders only when a tool requires them.
Do not hardcode credentials, service names, ports, or cloud providers without repo evidence.
Do not overwrite existing README, CI, or config files without showing the diff intent.

Minimal Output

Track record

Benchmark

11 / 19

test cases passed, vs 9 / 19 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

majiayu000 / spellbook

skills/repo-scaffold/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

majiayu000/agentsmd-scaffoldGenerate or update repository-specific AGENTS.md instruction files from real repo evidence. Use when asked to create, design, scaffold, split, or improve root or scoped AGENTS.md files for Codex/Claude/agent workflows, especially when a repo needs directory-specific rules, validation commands, generated-file boundaries, or a short agent onboarding router.Close match+23 pp pass-rate lift

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Repo Scaffold

Purpose

Search First

Scaffold Layers

Decision Rules

Minimal Output

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

Related skills