Formalise a product spec for a DynamoDB-Toolbox task — interview, codebase analysis, and Notion write-back.

MITAuto-check passedDatabases

Install Spec

skills CLI
$ npx skills add dynamodb-toolbox/dynamodb-toolbox --skill spec -a claude-code

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

GitHub CLI
$ gh skill install dynamodb-toolbox/dynamodb-toolbox spec --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/dynamodb-toolbox/dynamodb-toolbox.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/spec .claude/skills/spec && 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
spec
GitHub stars
2k
Token cost
~1.2k tokens
SKILL.md length
688 words
Files
1
Skills in repo
3
Repo updated
First seen
Licence
MIT

At a glance

Formalise a product spec for a DynamoDB-Toolbox task — interview, codebase analysis, and Notion write-back.

  • Works in 8 steps: Read the tasks → Analyse the codebase → Grill the user → …
  • Tasks that involve NoSQL databases
  • SKILL.md covers Context, Your task, Output format and Workflow feedback
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Spec is an agent skill from dynamodb-toolbox/dynamodb-toolbox. Formalise a product spec for a DynamoDB-Toolbox task — interview, codebase analysis, and Notion write-back. Invoke with /spec.

Its SKILL.md is about 1.2k 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 Databases, covering NoSQL databases, PRD writing and Codebase onboarding. It works with Amazon DynamoDB, Notion, Amazon Web Services and TypeScript. The repository describes itself as: Lightweight and type-safe query builder for DynamoDB and TypeScript. The licence is MIT.

When your agent uses it

  • Tasks that involve NoSQL databases
  • Tasks that involve PRD writing
  • Tasks that involve Codebase onboarding

Example prompts

  • “/spec”

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. Read the tasks
  2. Analyse the codebase
  3. Grill the user
  4. Complete the spec
  5. Validation criteria
  6. Plan updates to /docs/docs/
  7. Validate with user
  8. Write back to Notion

What it can do on your machine

Read from SKILL.md and the folder at commit 551a4d8. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Spec loads about 1.2k tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 688 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~33
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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 dynamodb-toolbox/dynamodb-toolbox at commit 551a4d8, republished under its MIT licence (© dynamodb-toolbox). 688 words, ~1,214 tokens.

Download SKILL.mdSave it as .claude/skills/spec/SKILL.md (or your agent's skills folder).
name
spec
description
Formalise a product spec for a DynamoDB-Toolbox task — interview, codebase analysis, and Notion write-back. Invoke with /spec.
disable-model-invocation
true

Product Spec Agent — DynamoDB-Toolbox

You are a product manager for DynamoDB-Toolbox, an open source lightweight and type-safe query builder for DynamoDB.

Context

Before doing anything, read the following to understand the existing product:

  • /CLAUDE.md — product architecture and folder structure
  • /docs/docs/ — the documentation site; one area per concept, schema type, and action

Your task

The Notion board URL can be found in the CLAUDE.md file. Make sure to use the Notion MCP Server.

Step 1 — Read the tasks

List the tasks that are in To Design status. If there are none, stop there. If there are several, ask which task you should handle — use AskUserQuestion when there are 4 or fewer, but fall back to a plain numbered text list when there are more (the tool caps at 4 options).

As soon as the task is chosen, set its status to Designing before any other work, so parallel /spec runs don't grab the same task.

Fetch the Notion page and extract the draft feature description (if present).

Step 2 — Analyse the codebase

Identify which parts of the codebase are affected: schema types, entity/table/database actions, shared options parsers, errors, type-level utilities, and the matching /docs/docs/ pages.

Look for similar existing features (actions, transformers, schema types) to stay consistent with established patterns.

Step 3 — Grill the user

Before writing anything, challenge the draft. Ask the user everything needed to remove ambiguity — do not fill gaps with assumptions. Use the AskUserQuestion tool with concrete options whenever possible.

For instance:

  • Scope: What is in / out of scope for this iteration? Any follow-up already planned?
  • API surface: What does the public API look like (new action, new schema type, new option)? How is it imported (deep import subpath, src/index.ts barrel)?
  • Types: What is the expected type inference? Any generics or type-level behaviour to preserve?
  • Data & behaviour: What is validated / transformed / formatted? What happens on missing, partial, or malformed input?
  • Edge cases: Empty values, defaults, optional/required attributes, large payloads — confirm expected behaviour rather than guessing.
  • Existing features: Point out overlaps or conflicts with features found in Step 2, and ask how they should interact.

Batch questions (3-5 max per round) and iterate until there are no open questions left. If the user answers "up to you", propose a default and get explicit confirmation before moving on.

Step 4 — Complete the spec

Rewrite the feature description with:

  • A clear user story ("As a [role], on the [where], when I [trigger], I see [what]")
  • Detailed functional behaviour (runtime and type-level)
  • Edge cases (empty states, missing data, invalid input)
  • Error states and fallback behaviour (which DynamoDBToolboxError codes are thrown)
Show full SKILL.md (259 more words)Show less
Step 5 — Validation criteria

Write acceptance criteria in Given/When/Then format. Cover:

  • The happy path
  • Each edge case identified above
  • Type-level expectations if relevant
  • Any impact on existing features

Include a checkbox in each acceptance criterion for manual validation.

Step 6 — Plan updates to /docs/docs/

List the updates to the relevant files in /docs/docs/ needed to document this new feature (but do not implement them). Follow the same structure as existing pages — each schema type and action has a corresponding page.

Step 7 — Validate with user

Present the spec to the user concisely — lead with a short summary (the decisions taken and what visibly changes) and keep the long detail (full behaviour, edge cases, acceptance criteria) scannable or on request, rather than dumping the whole document in chat. The exhaustive version lives in Notion (Step 8). If there is any feedback, update the spec accordingly.

Once the user is satisfied, ask if you should continue to the "Plan" step. If they agree, execute the "Plan" command (in ../plan/SKILL.md) once this workflow is over.

Step 8 — Write back to Notion

Update the Notion page with the completed spec. Replace the draft content, do not append.

Update the task status to To Plan.

Output format

When done, print a short summary:

  • Task: [title]
  • Files read: [list]
  • Files to update: [list]
  • Notion: updated ✓

Workflow feedback

After printing the summary, run the shared feedback loop in ../../workflow-feedback.md: ask the developer for feedback on this /spec workflow itself and — if they have any and approve the changes — open a small PR improving the workflow prompts.

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

Files

Just SKILL.md in .claude/skills/spec of dynamodb-toolbox/dynamodb-toolbox.

Open the folder on GitHubat commit 551a4d8

Compare with similar skills

Spec 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.

Spec compared with similar skills
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Spec this skilldynamodb-toolbox/dynamodb-toolbox2k—~1.2kAutomated safety check: PassMIT
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Amplify Workflowawslabs/agent-plugins915—~3.2kAutomated safety check: PassApache-2.0
AWS Amplifyaws/agent-toolkit-for-aws2.8k—~3.9kAutomated safety check: PassApache-2.0
Dynamodbitsmostafa/aws-agent-skills1.2k—~2.5kAutomated safety check: PassMIT
Ak Dev New Multimodal Storageyaalalabs/agent-kernel191—~4.3kAutomated safety check: PassApache-2.0

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Categories

Questions about Spec

What does Spec do?

Formalise a product spec for a DynamoDB-Toolbox task — interview, codebase analysis, and Notion write-back. Spec is an agent skill from dynamodb-toolbox/dynamodb-toolbox. Formalise a product spec for a DynamoDB-Toolbox task — interview, codebase analysis, and Notion write-back.

When should I use Spec?

Spec fits situations like: tasks that involve NoSQL databases; tasks that involve PRD writing; tasks that involve Codebase onboarding.

How do I install Spec in Claude Code?

Run `npx skills add dynamodb-toolbox/dynamodb-toolbox --skill spec -a claude-code`. Or copy the skill folder (.claude/skills/spec in dynamodb-toolbox/dynamodb-toolbox) into .claude/skills/spec in your project. Claude Code loads it when a task matches its description.

How do I install Spec in Codex?

Run `npx skills add dynamodb-toolbox/dynamodb-toolbox --skill spec -a codex`. Or copy the skill folder (.claude/skills/spec in dynamodb-toolbox/dynamodb-toolbox) into .agents/skills/spec in your project. Codex loads it when a task matches its description.

Can I use Spec 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 dynamodb-toolbox/dynamodb-toolbox --skill spec -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/spec, .gemini/skills/spec, .github/skills/spec and .opencode/skills/spec in your project.

What does Spec need to run?

SKILL.md names no scripts, command-line tools or credentials: Spec is instructions for the agent only.

Does Spec 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 Spec 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 Spec use?

Spec 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 Spec use?

About 1.2k tokens (SKILL.md is roughly 4.9k 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 Spec?

Skills that share tags, products or a category with Spec: AWS Dynamodb (alinaqi/maggy, 707 stars), Amplify Workflow (awslabs/agent-plugins, 915 stars), AWS Amplify (aws/agent-toolkit-for-aws, 2.8k stars) and Dynamodb (itsmostafa/aws-agent-skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Spec?

dynamodb-toolbox (a GitHub organization) maintains it in dynamodb-toolbox/dynamodb-toolbox, which has 2,002 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on October 3, 2026.

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