spec-driven-development
Skill4 starsChanged 5 months agoMITView on GitHub
Creates specs before coding. Use when starting a new project, feature, or significant change and no specification exists yet. Use when requirements are unclear, ambiguous, or only exist as a vague idea.
103 other projects use a version of this, 59 of them edited.
Adopted by
Most recently taken up by
- thistleknot/skillstheir own version, first seen Nov 8, 2026
- mariano-aguero/spec-driven-development-skilltheir own version, first seen Nov 8, 2026
- ishandutta2007/Awesome-Agent-Skillsedited, first seen Nov 8, 2026
- MMACABRE/SKILLSedited, first seen Nov 8, 2026
- steven123397/nexuskit-skillsedited, first seen Nov 1, 2026
- rumotion/ai-agent-project-templatetheir own version, first seen Nov 1, 2026
Used with
Projects with it also use using-agent-skills, constraint-driven-development and 1 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
LLl0k0laDSkillusing-agent-skills
Use when starting a session or when you need to discover which skill applies to the current task. This is the meta-skill that governs how all other skills are discovered and invoked.
Also in 44 projects that use this
MrCipherSmithSkillconstraint-driven-development
Use when a project needs a persistent, measurable quality bar — starting a project without documented standards, 'set up constraints', or when coverage/perf/a11y thresholds get re-debated per-PR. Produces CONSTRAINTS.md with enforceable numbers, ratchets, and a guard against silent weakening. NOT for throwaway prototypes or a one-off CI setup.
Also in 16 projects that use this
HK-hubSkillobservability-and-instrumentation
Instruments code so production behavior is visible and diagnosable. Use when adding logging, metrics, tracing, or alerting. Use when shipping any feature that runs in production and you need evidence it works. Use when production issues are reported but you can't tell what happened from the available data.
Also in 36 projects that use this
Other versions103 projects use a version of this.
Word for word · 0
None found.
Edited · 59
- addyosmani/agent-skills★ 114k50% same
- ollaya-dev/ollaya★ 1.4k52% same
- shashankswe2020-ux/whoop-mcp★ 17488% same
- vinvcn/addyosmani-agent-skills-zh★ 4615% same
- sampleXbro/agentsmesh★ 2788% same
- jaskirat1616/grok-skills★ 2256% same
- ishandutta2007/Awesome-Agent-Skills★ 2189% same
- HK-hub/AgentSkills★ 681% same
- coreplanelabs/switchboard★ 552% same
- lza6/claw-code-tingfeng★ 588% same
49 more not listed
Wrote their own version · 44
- kdlbs/kandev★ 1.1ksame name
- jasonkneen/kiro★ 753same name
- magnus919/agent-skills★ 172same name
- FredAntB/Spec-Driven-Development★ 153same name
- tranhieutt/software_development_department★ 71same name
- drvoss/everything-copilot-cli★ 48same name
- krzysztofsurdy/code-virtuoso★ 36same name
- jmxt3/gitscape.ai★ 33same name
- VoDaiLocz/kilo-kit-mcp★ 28same name
- mariano-aguero/spec-driven-development-skill★ 11same name
34 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 repository26 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- api-and-interface-designSkill
- ci-cd-and-automationSkill
- code-review-and-qualitySkill
- code-simplificationSkill
- context-engineeringSkill
- debugging-and-error-recoverySkill
- deprecation-and-migrationSkill
- documentation-and-adrsSkill
- doubt-driven-developmentSkill
- embedded-build-and-toolchainSkill
- embedded-debuggingSkill
- git-workflow-and-versioningSkill
- idea-refineSkill
- incremental-implementationSkill
- interview-meSkill
- performance-optimizationSkill
- peripheral-driver-designSkill
- planning-and-task-breakdownSkill
- rtos-and-concurrencySkill
- security-and-hardeningSkill
- shipping-and-launchSkill
- source-driven-developmentSkill
- test-driven-developmentSkill
- using-ae-skillsSkill
The file
We split this skill into the rules it gives an agent
9 rules. 0 are common, 9 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 96 edited versions we read keep these.
9
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
- could be automatic: a setting could enforce it
- Distinctive: line 10
Write a structured specification before writing any code.
- Distinctive: line 36
Start with a high-level vision.
- Distinctive: line 38
Surface assumptions immediately: Before writing any spec content, list what you're assuming:
- Distinctive: line 49
Don't silently fill in ambiguous requirements.
- Distinctive: line 81
Always do: Run tests before commits, follow naming conventions, validate inputs
- Distinctive: line 83
Never do: Commit secrets, edit vendor directories, remove failing tests without approval
- Distinctive: line 120
Reframe instructions as success criteria: When receiving vague requirements, translate them into concrete conditions:
- Distinctive: line 154
No task should require changing more than ~5 files
- Distinctive: line 197
Before proceeding to implementation, confirm:
“Common” is measured: kept by at least 6 in 10 of the 96 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-Driven Development
Overview
Write a structured specification before writing any code. The spec is the shared source of truth between you and the human engineer — it defines what we're building, why, and how we'll know it's done. Code without a spec is guessing.
When to Use
- Starting a new project or feature
- Requirements are ambiguous or incomplete
- The change touches multiple files or modules
- You're about to make an architectural decision
- The task would take more than 30 minutes to implement
When NOT to use: Single-line fixes, typo corrections, or changes where requirements are unambiguous and self-contained.
The Gated Workflow
Spec-driven development has four phases. Do not advance to the next phase until the current one is validated.
SPECIFY ──→ PLAN ──→ TASKS ──→ IMPLEMENT
│ │ │ │
▼ ▼ ▼ ▼
Human Human Human Human
reviews reviews reviews reviewsPhase 1: Specify
Start with a high-level vision. Ask the human clarifying questions until requirements are concrete.
Surface assumptions immediately. Before writing any spec content, list what you're assuming:
ASSUMPTIONS I'M MAKING:
1. Target MCU is nRF52840 (Cortex-M4) with 1MB flash, 256KB RAM
2. RTOS is FreeRTOS (configurable to Zephyr if needed)
3. Build system is GCC + Make with multi-target support
4. Production firmware must fit in 512KB (A/B partition scheme)
→ Correct me now or I'll proceed with these.Don't silently fill in ambiguous requirements. The spec's entire purpose is to surface misunderstandings before code gets written — assumptions are the most dangerous form of misunderstanding.
Write a spec document covering these six core areas:
- Objective — What are we building and why? Who is the user? What does success look like?
- Commands — Full executable commands with flags, not just tool names.
Build: make TARGET=nrf52840 Test: cd tests && ceedling test:all Lint: cppcheck --enable=all src/ Flash: pyocd flash -t nrf52840 build/firmware.hex - Project Structure — Where source code lives, where tests go, where docs belong.
src/ → Application and driver source code src/drivers → Peripheral drivers (HAL) src/rtos → RTOS configuration and task definitions include/ → Public headers and API definitions tests/ → Host-based unit tests (Ceedling/Unity) tests/hil → Hardware-in-the-loop tests ld/ → Linker scripts per target mk/ → Per-target Makefile fragments docs/ → Documentation and ADRs - Code Style — One real code snippet showing your style beats three paragraphs describing it. Include naming conventions, formatting rules, and examples of good output.
- Testing Strategy — What framework, where tests live, coverage expectations, which test levels for which concerns.
- Boundaries — Three-tier system:
- Always do: Run tests before commits, follow naming conventions, validate inputs
- Ask first: Database schema changes, adding dependencies, changing CI config
- Never do: Commit secrets, edit vendor directories, remove failing tests without approval
Spec template:
# Spec: [Project/Feature Name]
## Objective
[What we're building and why. User stories or acceptance criteria.]
## Tech Stack
[Framework, language, key dependencies with versions]
## Commands
[Build, test, lint, dev — full commands]
## Project Structure
[Directory layout with descriptions]
## Code Style
[Example snippet + key conventions]
## Testing Strategy
[Framework, test locations, coverage requirements, test levels]
## Boundaries
- Always: [...]
- Ask first: [...]
- Never: [...]
## Success Criteria
[How we'll know this is done — specific, testable conditions]
## Open Questions
[Anything unresolved that needs human input]Reframe instructions as success criteria. When receiving vague requirements, translate them into concrete conditions:
REQUIREMENT: "Make the BLE connection more reliable"
REFRAMED SUCCESS CRITERIA:
- BLE connection success rate > 99% within 2 meters
- Reconnection after link loss completes in < 2 seconds
- No more than 1 unexpected disconnection per hour under normal RF conditions
→ Are these the right targets?This lets you loop, retry, and problem-solve toward a clear goal rather than guessing what "faster" means.
Phase 2: Plan
With the validated spec, generate a technical implementation plan:
- Identify the major components and their dependencies
- Determine the implementation order (what must be built first)
- Note risks and mitigation strategies
- Identify what can be built in parallel vs. what must be sequential
- Define verification checkpoints between phases
The plan should be reviewable: the human should be able to read it and say "yes, that's the right approach" or "no, change X."
Phase 3: Tasks
Break the plan into discrete, implementable tasks:
- Each task should be completable in a single focused session
- Each task has explicit acceptance criteria
- Each task includes a verification step (test, build, manual check)
- Tasks are ordered by dependency, not by perceived importance
- No task should require changing more than ~5 files
Task template:
- [ ] Task: [Description]
- Acceptance: [What must be true when done]
- Verify: [How to confirm — test command, build, manual check]
- Files: [Which files will be touched]Phase 4: Implement
Execute tasks one at a time following skills/incremental-implementation/SKILL.md (incremental-implementation) and skills/test-driven-development/SKILL.md (test-driven-development). Use skills/context-engineering/SKILL.md (context-engineering) to load the right spec sections and source files at each step rather than flooding the agent with the entire spec.
Keeping the Spec Alive
The spec is a living document, not a one-time artifact:
- Update when decisions change — If you discover the data model needs to change, update the spec first, then implement.
- Update when scope changes — Features added or cut should be reflected in the spec.
- Commit the spec — The spec belongs in version control alongside the code.
- Reference the spec in PRs — Link back to the spec section that each PR implements.
Common Rationalizations
| Rationalization | Reality |
| "This is simple, I don't need a spec" | Simple tasks don't need long specs, but they still need acceptance criteria. A two-line spec is fine. |
| "I'll write the spec after I code it" | That's documentation, not specification. The spec's value is in forcing clarity before code. |
| "The spec will slow us down" | A 15-minute spec prevents hours of rework. Waterfall in 15 minutes beats debugging in 15 hours. |
| "Requirements will change anyway" | That's why the spec is a living document. An outdated spec is still better than no spec. |
| "The user knows what they want" | Even clear requests have implicit assumptions. The spec surfaces those assumptions. |
Red Flags
- Starting to write code without any written requirements
- Asking "should I just start building?" before clarifying what "done" means
- Implementing features not mentioned in any spec or task list
- Making architectural decisions without documenting them
- Skipping the spec because "it's obvious what to build"
Verification
Before proceeding to implementation, confirm:
- The spec covers all six core areas
- The human has reviewed and approved the spec
- Success criteria are specific and testable
- Boundaries (Always/Ask First/Never) are defined
- The spec is saved to a file in the repository
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Your trail
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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.

