spec-writing
Skill114 starsChanged 10 months agoMITView on GitHub
Convert an approved PRD or clear requirements into an implementation-ready technical spec with scope, interfaces, and acceptance criteria.
17 other projects use a version of this.
Adopted by
Most recently taken up by
- rajanrx/skillstheir own version, first seen Nov 8, 2026
- crbnos/carbontheir own version, first seen Nov 7, 2026
- rioffe/specchecktheir own version, first seen Nov 6, 2026
- ragna-ai/ragna-studiotheir own version, first seen Nov 1, 2026
- OrionicsLtd/claude-skillstheir own version, first seen Nov 1, 2026
- converge-ai-labs/agent-foundationtheir own version, first seen Oct 29, 2026
Other versions17 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 17
- crbnos/carbon★ 2.8ksame name
- converge-ai-labs/agent-foundation★ 825same name
- khuynh22/agent-dev-team★ 9same name
- rioffe/speccheck★ 5same name
- anyoneanderson/agent-skills★ 3same name
- mariomile/builder-os★ 2same name
- rajanrx/skills★ 2same name
- bedomax/webdesigner-agent★ 1same name
- dagarre00/claude-code-template★ 1same name
- OrionicsLtd/claude-skills★ 1same name
7 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository48 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- assumption-mappingSkill
- assumption-prioritizationSkill
- atlassian-jira-syncSkill
- backend-designSkill
- brainstormingSkill
- challenging-stakeholder-questionsSkill
- competitor-analysisSkill
- crux-diagnosisSkill
- davciSkill
- decision-journalSkill
- decision-reversibilitySkill
- difficult-conversationsSkill
- executive-update-reviewSkill
- experiment-designSkill
- frontend-designSkill
- google-calendar-schedule-checkSkill
- granola-meeting-syncSkill
- hidden-agendasSkill
- hypothesis-designSkill
- ideas-summarySkill
- influence-strategiesSkill
- interview-cleanupSkill
- jtbd-clusteringSkill
- jtbd-extractionSkill
- limit-based-strategySkill
- linear-issue-syncSkill
- llm-coding-guardrailsSkill
- mece-analysisSkill
- meeting-power-dynamicsSkill
- message-framing-commsSkill
- opportunity-solution-treeSkill
- ost-intakeSkill
- ost-target-selectionSkill
- power-mapSkill
- prd-writingSkill
- problem-structuringSkill
- root-cause-analysisSkill
- signal-identificationSkill
- slack-message-checkSkill
- stakeholder-risk-reviewSkill
- structured-product-strategySkill
- systematic-debuggingSkill
- tddSkill
- value-chain-mappingSkill
- verificationSkill
- writing-plansSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 5 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 15 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Use this skill to produce an implementation-ready spec before planning or coding.
- Distinctive: line 18
If inputs are missing or ambiguous, list assumptions and open questions first.
- Distinctive: line 83
No vague placeholders in final output
- Distinctive: line 89
Use this skill when the task directly matches the workflow described above.
- Distinctive: line 93
Do not use this skill when the request is unrelated, low-stakes, or better handled by a simpler direct response.
“Common” is measured: kept by at least 6 in 10 of the 15 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Spec Writing
Use this skill to produce an implementation-ready spec before planning or coding.
The Process
Step 1: Validate inputs
Require one of:
- approved PRD
- clear requirements with goals and constraints
If inputs are missing or ambiguous, list assumptions and open questions first.
Step 2: Define scope boundaries
Document:
- in scope
- out of scope
- constraints (time, dependencies, compliance, platform)
Step 3: Define solution design
Specify:
- architecture overview (high-level components)
- interfaces/contracts
- data model changes
- rollout and migration approach
Step 4: Define acceptance and verification
Include:
- acceptance criteria (testable)
- non-functional expectations (performance, security, reliability)
- verification commands/checks required before completion
Output Format
# [Feature Name] Technical Spec
## Goal
[What this spec delivers and why]
## Scope
- In scope:
- Out of scope:
- Constraints:
## Design
- Architecture:
- Interfaces/contracts:
- Data model changes:
- Migration/rollout:
## Risks and Dependencies
- Risks:
- Dependencies:
- Mitigations:
## Acceptance Criteria
- AC1:
- AC2:
- AC3:
## Verification Plan
- Required checks:
- Commands:
- Evidence to capture:
## Open Questions
- Q1:
- Q2:Quality Bar
- No vague placeholders in final output
- Acceptance criteria must be measurable
- Verification plan must include explicit commands
When to Use
Use this skill when the task directly matches the workflow described above.
When Not to Use
Do not use this skill when the request is unrelated, low-stakes, or better handled by a simpler direct response.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

