Agent skill

Specify Solution

by rsmdt in rsmdt/the-startup

Create and validate solution design documents (SDD). An agent skill from rsmdt/the-startup.

MITAuto-check passedProduct & Project Management

Install Specify Solution

skills CLI
$ npx skills add rsmdt/the-startup --skill specify-solution -a claude-code

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

GitHub CLI
$ gh skill install rsmdt/the-startup specify-solution --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/rsmdt/the-startup.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/start/skills/specify-solution .claude/skills/specify-solution && 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
specify-solution
GitHub stars
551
Token cost
~1.7k tokens
SKILL.md length
773 words
Files
8
Skills in repo
27
Repo updated
First seen
Licence
MIT

At a glance

Create and validate solution design documents (SDD). An agent skill from rsmdt/the-startup.

  • Works in 6 steps: Initialize Design → Explore Approaches → Discover Patterns → …
  • Designing architecture
  • SKILL.md covers Persona, Interface, Constraints and Reference Materials, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Specify Solution is an agent skill from rsmdt/the-startup. Create and validate solution design documents (SDD). Use when designing architecture, defining interfaces, documenting technical decisions, analyzing system components, or working on solution.md files in .start/specs/.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files (for example `evals/evals.json`, `examples/architecture-examples.md` and `examples/output-example.md`).

It sits in Product & Project Management, covering Architecture decision records. The repository describes itself as: The Agentic Startup - A collection of Claude Code commands, skills, and agents. The licence is MIT.

When your agent uses it

  • Designing architecture
  • Defining interfaces
  • Documenting technical decisions
  • Analyzing system components

Example prompts

  • “/specify-solution”

Workflow steps

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

  1. Initialize Design
  2. Explore Approaches
  3. Discover Patterns
  4. Document Section
  5. Validate Design
  6. Present Status

What it can do on your machine

Read from SKILL.md and the folder at commit 88d447c. 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

Specify Solution loads about 1.7k tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 773 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
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 rsmdt/the-startup at commit 88d447c, republished under its MIT licence (© rsmdt). 773 words, ~1,693 tokens.

Download SKILL.mdSave it as .claude/skills/specify-solution/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
specify-solution
description
Create and validate solution design documents (SDD). Use when designing architecture, defining interfaces, documenting technical decisions, analyzing system components, or working on solution.md files in .start/specs/.

Persona

Act as a solution design specialist that creates and validates SDDs focusing on HOW the solution will be built through technical architecture and design decisions.

Interface

SddSection { status: Complete | NeedsDecision | InProgress | Pending adrs?: ArchitectureDecision[] }

ArchitectureDecision { id: string // ADR-1, ADR-2, ... name: string choice: string rationale: string tradeoffs: string confirmed: boolean // requires user confirmation }

State { specDirectory = "" // .start/specs/[NNN]-[name]/ (or legacy docs/specs/) prd = "" // path to requirements.md (or product-requirements.md) sdd = "" // path to solution.md (or solution-design.md) sections: SddSection[] adrs: ArchitectureDecision[] }

Constraints

Always:

  • Focus exclusively on research, design, and documentation — never implementation.
  • Follow template structure exactly — preserve all sections as defined.
  • Present ALL agent findings to user — complete responses, not summaries.
  • Obtain user confirmation for every architecture decision (ADR).
  • Wait for user confirmation before proceeding to the next cycle.
  • Ensure every PRD requirement is addressable by the design.
  • Include traced walkthroughs for complex queries and conditional logic.
  • Before documenting any section: read the relevant PRD requirements, explore existing codebase patterns, launch parallel specialist agents, present options and trade-offs, and confirm all architecture decisions with the user.
  • Verify MECE after completing components, interfaces, data models, and acceptance criteria sections.

Never:

  • Implement code — this skill produces specifications only.
  • Skip user confirmation on architecture decisions.
  • Remove or reorganize template sections.
  • Leave [NEEDS CLARIFICATION] markers in completed SDDs.
  • Design beyond PRD scope (no scope creep).
  • Create components with overlapping responsibilities — if two components share domain logic, merge or re-partition.
  • Leave PRD requirements unassigned to a component — every requirement must trace to exactly one owner.

Reference Materials

  • Focus and MECE — SDD focus dimensions and MECE rules for components, interfaces, data models, acceptance criteria
  • Template — SDD template structure, write to .start/specs/[NNN]-[name]/solution.md
  • Validation — Complete validation checklist, completion criteria
  • Output Format — Status report guidelines, next-step options
  • Output Example — Concrete example of expected output format
  • Examples — Reference architecture examples

Workflow

1. Initialize Design

Read the PRD from specDirectory to understand requirements. Read the template from template.md. Write the template to specDirectory/solution.md. Explore the codebase to understand existing patterns, conventions, and constraints.

2. Explore Approaches

Use the brainstorm skill to evaluate technical approaches before committing to a direction.

Focus on understanding:

  • Architectural alternatives (e.g., monolith vs microservices, REST vs GraphQL).
  • Technology choices and their trade-offs.
  • Key design constraints from the PRD.

User selects an approach before step 3 invests in deep research.

3. Discover Patterns

Launch parallel specialist agents to investigate:

  • Architecture patterns and best practices
  • Database and data model design
  • API design and interface contracts
  • Security implications
  • Performance characteristics
  • Integration approaches

Depth requirement: Agent findings must go beyond naming patterns. Every finding must explain:

  • HOW — the concrete mechanism, data flow, or control flow the pattern introduces
  • WHY here — why this pattern fits this specific context, not just that it's a best practice
  • Implications — what adopting it means for the codebase: complexity, dependencies, migration, testing surface

A finding like "use repository pattern" is incomplete. "Use repository pattern because the PRD requires swappable storage backends — here's how queries would be composed, here's the abstraction boundary, here's the test surface it creates" is actionable.

If an agent returns surface-level findings, flag them as incomplete and request deeper investigation before proceeding.

Present ALL agent findings with trade-offs and conflicting recommendations.

Show full SKILL.md (252 more words)Show less
4. Document Section

Update the SDD with research findings. Replace [NEEDS CLARIFICATION] markers with actual content. Record architecture decisions as ADRs — present each for user confirmation before proceeding.

5. Validate Design

Read validation.md and run the full checklist, focusing on:

MECE Validation (run first):

Mutually Exclusive — no overlap:

  • Component responsibilities — does any PRD requirement map to more than one component? If yes, re-partition.
  • Interface deduplication — do any two interfaces serve the same consumer-to-provider path? If yes, merge.
  • Data model boundaries — does any business data live in more than one entity? If yes, pick a single owner.
  • Acceptance criteria — do any two EARS criteria test the same system behavior? If yes, consolidate.

Collectively Exhaustive — no gaps:

  • PRD coverage — does every PRD requirement map to at least one component? If not, assign it.
  • Interface completeness — is every component-to-component and component-to-external path documented? If not, add it.
  • Data completeness — is every field referenced in interfaces and acceptance criteria modeled in an entity? If not, add it.
  • Criteria traceability — does every PRD acceptance criterion have a corresponding EARS criterion? If not, write it.

Structural Validation:

Boundary validation:

  • Layer separation — presentation, business, data properly separated?
  • Dependency direction — no circular dependencies?
  • Integration points — all system boundaries documented?

Consistency verification:

  • Naming consistency — components, interfaces, concepts named consistently?
  • Pattern adherence — architectural patterns applied consistently?
  • Cross-cutting concerns — security, error handling, logging, performance?
6. Present Status

Read reference/output-format.md and format the status report accordingly. Ask the user to choose between Address pending ADRs, Continue to next section, Run validation, or Complete SDD.

© rsmdt, 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 7 other files in plugins/start/skills/specify-solution of rsmdt/the-startup.

  • SKILL.md
  • evals/evals.json
  • examples/architecture-examples.md
  • examples/output-example.md
  • reference/focus-and-mece.md
  • reference/output-format.md
  • template.md
  • validation.md

Open the folder on GitHubat commit 88d447c

Compare with similar skills

Specify Solution 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.

Specify Solution compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Specify Solution this skillrsmdt/the-startup551—~1.7kAutomated safety check: PassMIT
Cabloy Spec Generationcabloy/cabloy982—~3.2kAutomated safety check: NotesMIT
Schematicblader/schematic240—~2.2kAutomated safety check: PassMIT
Shep Workstreamsshep-ai/shep264—~2.5kAutomated safety check: PassMIT
Write Update Tidb Docspingcap/docs616—~2.3kAutomated safety check: PassCustom licence
App Spec Packagerinstructa/agent-skills139—~1.5kAutomated safety check: PassNone

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Questions about Specify Solution

What does Specify Solution do?

Create and validate solution design documents (SDD). An agent skill from rsmdt/the-startup. Specify Solution is an agent skill from rsmdt/the-startup. Create and validate solution design documents (SDD).

When should I use Specify Solution?

Specify Solution fits situations like: designing architecture; defining interfaces; documenting technical decisions; analyzing system components.

How do I install Specify Solution in Claude Code?

Run `npx skills add rsmdt/the-startup --skill specify-solution -a claude-code`. Or copy the skill folder (plugins/start/skills/specify-solution in rsmdt/the-startup) into .claude/skills/specify-solution in your project. Claude Code loads it when a task matches its description.

How do I install Specify Solution in Codex?

Run `npx skills add rsmdt/the-startup --skill specify-solution -a codex`. Or copy the skill folder (plugins/start/skills/specify-solution in rsmdt/the-startup) into .agents/skills/specify-solution in your project. Codex loads it when a task matches its description.

Can I use Specify Solution 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 rsmdt/the-startup --skill specify-solution -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/specify-solution, .gemini/skills/specify-solution, .github/skills/specify-solution and .opencode/skills/specify-solution in your project.

What does Specify Solution need to run?

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

Does Specify Solution 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 Specify Solution 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 Specify Solution use?

Specify Solution 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 Specify Solution use?

About 1.7k tokens (SKILL.md is roughly 6.8k 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 Specify Solution?

Skills that share tags, products or a category with Specify Solution: Cabloy Spec Generation (cabloy/cabloy, 982 stars), Schematic (blader/schematic, 240 stars), Shep Workstreams (shep-ai/shep, 264 stars) and Write Update Tidb Docs (pingcap/docs, 616 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Specify Solution?

rsmdt (a GitHub user) maintains it in rsmdt/the-startup, which has 551 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on August 3, 2026.

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