Spec Writer
garrytan/gstack
Converts a vague idea into a precise, executable spec in five phases, files it as an issue and can start an agent on it in a fresh worktree.
Structured spec-first development workflow with multi-role expert review gates: clarify requirements, author spec documents (requirements/design/tasks), generate code from spec, verify with real…
$ npx skills add LeoYeAI/openclaw-master-skills --skill spec-coder -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills spec-coder --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/spec-coder .claude/skills/spec-coder && rm -rf skills-srcUse ~/.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/
Install the "spec-coder" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/spec-coder into .claude/skills/spec-coder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spec-coder", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/spec-coderType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LeoYeAI/openclaw-master-skills --skill spec-coder -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills spec-coder --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/spec-coder .agents/skills/spec-coder && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "spec-coder" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/spec-coder into .agents/skills/spec-coder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spec-coder", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill spec-coder -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills spec-coder --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/spec-coder .cursor/skills/spec-coder && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "spec-coder" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/spec-coder into .cursor/skills/spec-coder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spec-coder", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LeoYeAI/openclaw-master-skills.git --path skills/spec-coder--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeoYeAI/openclaw-master-skills --skill spec-coder -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills spec-coder --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/spec-coder .gemini/skills/spec-coder && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "spec-coder" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/spec-coder into .gemini/skills/spec-coder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spec-coder", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LeoYeAI/openclaw-master-skills spec-coderInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LeoYeAI/openclaw-master-skills --skill spec-coder -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/spec-coder .github/skills/spec-coder && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "spec-coder" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/spec-coder into .github/skills/spec-coder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spec-coder", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill spec-coder -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills spec-coder --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/spec-coder .opencode/skills/spec-coder && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "spec-coder" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/spec-coder into .opencode/skills/spec-coder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spec-coder", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
spec-coderStructured spec-first development workflow with multi-role expert review gates: clarify requirements, author spec documents (requirements/design/tasks), generate code from spec, verify with real…
Spec Coder is an agent skill from LeoYeAI/openclaw-master-skills. Structured spec-first development workflow with multi-role expert review gates: clarify requirements, author spec documents (requirements/design/tasks), generate code from spec, verify with real tests, and iterate while keeping spec and code in sync. Use when user wants to build a feature or system with a spec-first approach, mentions "spec coding", "spec-driven development", or asks to write specs before coding.
Its SKILL.md is about 5.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `_meta.json`, `references/expert-review-protocol.md` and `references/spec-lifecycle.md`).
It sits in Development, covering Spec-driven development, Requirements gathering and Human-in-the-loop approvals. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
npmgoFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Spec Coder loads about 5.3k tokens when it runs, and up to ~16k if it reads all its reference files. Until then it costs about 107 tokens; SKILL.md has 2,384 words of instructions outside code blocks.
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.
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.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 2,384 words, ~5,324 tokens.
.claude/skills/spec-coder/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.Write specs first, then generate code. 5 phases, each producing artifacts that feed the next. Expert review gates between phases catch issues early.
On every new session:
specs/status.md to identify current phase, active changes, and deferred items.specs/status.md? This is a new project — start from Phase 0 (existing codebase) or Phase 1 (greenfield).Phase 0 ──→ Phase 1 ──→ ║Gate 1║ ──→ Phase 2a ──→ Phase 2b ──→ ║Gate 2║
(scan) (clarify) (req.) (design) (preview) (design)
│
┌────────────────────────────────────────────────────────────────┘
▼
Phase 2c ──→ Phase 2d ──→ ║Gate 3║ ──→ Phase 3 ──→ ║Gate 4║ ──→ Phase 4 ──→ Phase 5
(tasks) (specs) (plan) (code) (code) (verify) (iterate)
│
┌─────────────┘
▼
Re-trigger Gate
2 / 3 / 4 based
on change scopeGates auto-approve when no Critical/Major issues. See Expert Review Protocol for details.
| Phase | Input | Output | Gate | Next |
|---|---|---|---|---|
| 0. Codebase Scan | codebase files | status.md § Codebase Context | — | Phase 1 |
| 1. Clarify & Scope | user requirements + Phase 0 context | requirements.md | Gate 1 (req.) | Phase 2a |
| 2a. Technical Design | requirements.md | design.md | — | Phase 2b |
| 2b. Design Preview | design.md | design-preview/ | Gate 2 (design) | Phase 2c |
| 2c. Task Breakdown | design.md + requirements.md | tasks.md | — | Phase 2d |
| 2d. Feature Specs | tasks.md + design.md | spec_xxx.md | Gate 3 (plan) | Phase 3 |
| 3. Generate | tasks.md + spec_xxx.md | code + tests | Gate 4 (code) | Phase 4 |
| 4. Verify | code + tests + spec_xxx.md | test results, Implementation Map | — | Phase 5 or done |
| 5. Evolve | trunk specs + user request | changes/ | scoped gate | → Phase 1–4 |
Trigger conditions:
When NOT to use: Pure bug fixes, one-line config changes, dependency updates, or tasks completable in < 15 minutes without design decisions.
Complexity triage — choose the right track:
| Track | When | Phases | Artifacts | Review Depth |
|---|---|---|---|---|
| Small | Single endpoint, field addition, < 1 hr | Spec (lite) → Generate → Verify | spec_xxx.md only | Lite (1–2 roles, skip if trivial) |
| Medium | Single feature, 1–4 hrs, 1–3 modules | Clarify (brief) → Spec → Generate → Verify | spec_xxx.md + tasks.md | Standard (2–3 roles) |
| Large | Multi-module, > 4 hrs, or new system | Full 5-phase workflow | All spec files | Full (all roles) |
Ask the user which track fits, or infer from the scope of their request.
Small track shortcut:
Skip Phase 1. Write a single spec_xxx.md (Interface + Business Rules + Test Points only), then go straight to Generate → Verify.
Medium track shortcut:
Phase 1 is a brief bullet-point confirmation (no full requirements.md). Phase 2 produces tasks.md + spec_xxx.md only (skip design.md and design-preview/ unless architecture decisions are needed).
Mid-project entry: If the user already has spec files or an existing codebase, read them first. Validate existing artifacts against the expected format, then confirm which phase to start from.
Two-layer structure: trunk (current system truth) + changes (incremental work).
specs/
├── index.md ← navigation hub: all features & recent changes
├── requirements.md ← project-level requirements (grows incrementally)
├── design.md ← system-level architecture (grows incrementally)
├── design-preview/
├── tasks.md ← active tasks only
├── status.md
├── spec_<feature_name>.md ← feature specs (current truth, one per feature)
└── changes/ ← all incremental work
├── FEAT-NNN-name/ ← new feature (full spec lifecycle)
│ ├── spec.md
│ ├── design.md
│ ├── tasks.md
│ └── delta.md ← merge instructions for trunk
├── CHG-NNN-name/ ← change/enhancement (delta only)
│ ├── spec.md ← ADDED / MODIFIED / REMOVED sections
│ ├── tasks.md
│ └── delta.md
└── archive/ ← completed & merged changesFirst-time projects: Start with trunk only (no changes/ needed). The changes layer is introduced when the first post-v1 feature or modification begins.
For full lifecycle management details, see Spec Lifecycle Management.
For existing codebases, run before Phase 1: read dependency files to detect tech stack, list directory tree, identify existing interfaces/models/conventions, and summarize findings.
Output: Write results to specs/status.md under ## Codebase Context (tech stack, key conventions, existing interfaces, directory structure summary). This persists the scan across sessions. Phase 1 references this for requirements scoping; Phase 2a references it for architecture decisions.
Goal: Turn informal requirements into a confirmed, structured requirements.md.
Constraints: Do NOT write any code. Only ask questions and produce documents.
specs/requirements.md (see template): Background & Objectives, User Roles & Use Cases, Functional Requirements (FR-001...), Non-Functional Requirements, Out of Scope. If Phase 0 ran, populate the "Existing Architecture" section with requirement-relevant context from status.md § Codebase Context.Per Expert Review Protocol — Gate 1. Exit: User approves (or auto-approved).
Goal: Produce spec documents that directly drive code generation.
specs/design.mdBased on requirements.md, produce specs/design.md (see template):
For existing codebases: populate "Existing Architecture" section with architecture-relevant context from status.md § Codebase Context (what's new vs. modified).
specs/design-preview/Self-contained HTML prototype visualizing architecture, module layout, UI screens or API flows, and data models.
Constraints:
UI projects: All generated UI must follow the UI Design Guidelines to avoid AI-template aesthetics.
Per Expert Review Protocol — Gate 2. Exit: User approves (or auto-approved).
specs/tasks.mdTask table (see template). Target granularity: 30–90 min per task.
specs/spec_<feature>.mdPer feature (see template): Feature Description & Use Cases, Interface Definition, Data Model, Business Rules & Edge Cases, Test Points (≥ 5 per feature, complex: 10–20; categories: Normal / Error / Boundary / Combination).
Per Expert Review Protocol — Gate 3. Exit: User approves (or auto-approved).
Before leaving Phase 2: every interface has explicit I/O types; every business rule has ≥ 1 test point; specs describe what not how; each spec is self-contained for code generation; edge cases are explicit, not implied.
Goal: Produce implementation code + tests strictly based on the spec.
Spec adherence — tiered rules:
| Tier | Scope | Rule |
|---|---|---|
| Strict | Interfaces, data models, business rules | Follow spec exactly. Do not change signatures, field names, or behavior. |
| Flexible | Internal implementation (function names, code organization, logging, error messages) | AI decides, but must note deviations in Human-review points. |
| SPEC-GAP | Scenarios the spec doesn't cover (discovered during coding) | Implement a reasonable solution, tag it [SPEC-GAP], and continue. Collect all gaps for batch review in Phase 4. |
Never silently deviate from Strict-tier items. If a Strict item is wrong or incomplete, flag it and ask the user — but do not block on every minor gap.
feat(TASK-001): ...Blocked in tasks.md, log the reason, and continue with non-dependent tasks. Return to blocked tasks after unblocked tasks complete.tasks.md Status column (Pending → In Progress → Done / Blocked) as each task progresses.tasks.md (per execution strategy above), take its linked spec_xxx.md as input.[SPEC-GAP] items// SPEC: spec_auth.md | TASK-002 — enables reverse lookup from code to spec.For existing codebases: clearly distinguish "new file" vs. "modify existing file" and show diffs for modifications.
Per Expert Review Protocol — Gate 4. Exit: User approves (or auto-approved). Proceed to Phase 4.
Goal: Confirm generated code satisfies the spec through execution (static compliance is already covered by Gate 4).
Run the following checks in order. Stop and fix if any step fails.
pytest, npm test, go test, etc.). Map each TP-ID to pass/fail.tasks.md.requirements.md defines measurable NFRs (response time, throughput), run benchmarks and compare. Log results even if not blocking.AI-Auto: No in tasks.md, generate a manual test checklist with steps and expected results for the user to execute.For each [SPEC-GAP] from Phase 3: Accept (update spec) / Reject (fix code) / Defer (add to backlog).
After all tests pass, update the ## Implementation Map section in each spec_xxx.md with the actual code file paths and function/class names. This enables reverse lookup from spec to code.
Exit condition: All items pass, or user acknowledges remaining gaps.
Workflow completion (initial build): If this is the initial build and no further changes are planned, update status.md: mark all phases complete, remove the Initial Build Progress table, and present a summary to the user (features built, test pass rate, deferred items count).
Goal: Add new capabilities or modify existing ones while keeping all specs in sync.
Key rule: Always update the spec BEFORE updating the code. Every change goes through specs/changes/.
| Type | Criteria | Action |
|---|---|---|
| New Feature | Independent business value, new interfaces/models | Create specs/changes/FEAT-NNN-name/, run full Phase 1–4 within it |
| Change / Enhancement | Modifies existing feature behavior | Create specs/changes/CHG-NNN-name/, write delta spec, run Phase 2d–4 |
| Trivial Fix | Single spec file, single section, no interface/model change | Update trunk spec directly with changelog entry, skip change dir |
Before creating the change directory, run Overlap Check against all In-Progress changes listed in specs/index.md. If overlapping Target Specs are found, warn the user and agree on a resolution strategy before proceeding.
For Features: run the full workflow (Phase 1–4) inside specs/changes/FEAT-NNN/.
For Changes: write a delta-format spec.md (ADDED / MODIFIED / REMOVED), then run Phase 2d–4.
For Changes that add/remove screens, modify navigation structure, or alter primary interaction patterns (e.g., forms → tables): also run Phase 2b to update design-preview/.
Path rule: All Phase 1–4 outputs go into the change directory, not the trunk. For example, Phase 2a produces specs/changes/FEAT-NNN/design.md, not specs/design.md. The trunk is only updated during Step 4 (Merge to Trunk).
Nesting rule: Changes are always flat — never create a change inside another change directory. If FEAT-NNN's implementation reveals the need for an additional feature, create a sibling FEAT-NNN+1 at the top level (specs/changes/FEAT-NNN+1-name/) and add a dependency note in both tasks.md files.
Apply the same review gates as the main workflow, scoped to the change:
Before generating code, analyze impact across ALL trunk specs:
Present impact analysis to the user for confirmation.
After code is verified (Phase 4 passed):
changes/FEAT-NNN/spec.md to specs/spec_<feature>.md.delta.md — merge instructions listing every trunk file/section to update.specs/*.md): insert ADDED content, replace MODIFIED sections, remove REMOVED items.specs/index.md with the change reference.spec: merge FEAT/CHG-NNN to trunk.specs/changes/archive/.For full lifecycle details, merge rules, and scaling guidance, see Spec Lifecycle Management.
specs/status.md (see template). Update at each phase end with current phase, gate results, and deferred item counts. On session start, read specs/status.md first to restore context.spec_xxx.md + related design.md sections — not all spec files at once.specs/status.md.| Scenario | Recovery Action |
|---|---|
| Phase 3: Task fails after 2 attempts | Mark task Blocked in tasks.md, log root cause, continue with non-dependent tasks. After all other tasks complete, revisit blocked tasks — may require spec revision (back to Phase 2d). |
| Phase 4: Tests fail | Categorize: spec bug (fix spec then re-generate) vs. code bug (fix code, re-run tests). Do not loop more than 3 fix-verify cycles per task — escalate to user. |
| Phase 4: Test environment unavailable | Generate manual test checklist, document expected setup, and mark verification as Pending-Env in status.md. Proceed with remaining phases that don't require the environment. |
| SPEC-GAP: Cannot decide autonomously | Tag as [SPEC-GAP-BLOCKED], implement a safe no-op or error response as placeholder, and batch all blocked gaps for user decision before Phase 4 verification. |
| Phase 5: Delta merge conflict | Follow conflict handling in spec-lifecycle.md. Never force-overwrite trunk — always present both versions to the user. |
| Cross-session context loss | Read specs/status.md + last completed artifacts (see Session Start). If status.md is missing or stale, scan specs/ directory structure and tasks.md status to reconstruct state. |
| Phase 1: Requirements deadlock | If the user cannot decide after 3 clarification rounds, present a default recommendation with rationale. Ask for explicit approval or override. Do not loop indefinitely. |
| Phase 2: Design deadlock | If two design options are equally viable, document both in ADR format (pros/cons/consequences), provide a recommended option, and ask the user to decide. Limit to 2 discussion rounds, then adopt the recommendation if no response. |
For spec file templates, see templates.md (core) and templates-lifecycle.md (lifecycle & review).
© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 6 other files (references) in skills/spec-coder of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Spec Coder 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Spec Coder this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~5.3k | Automated safety check: Pass | MIT | |
| Spec Writergarrytan/gstack | 136k | — | ~14k | Automated safety check: Notes | MIT | |
| Spec-Driven Developmentaddyosmani/agent-skills | 102k | 1 repos | ~3.2k | Automated safety check: Pass | MIT | |
| MoAI SPEC Workflowmodu-ai/moai-adk | 1.2k | — | ~5.1k | Automated safety check: Pass | Apache-2.0 | |
| Loop FactoryJuliusBrussee/skills | 161 | — | ~2k | Automated safety check: Pass | MIT | |
| Feature Spec Generatorcashew-labs/libretto | 904 | — | ~2.4k | Automated safety check: Pass | MIT |
garrytan/gstack
Converts a vague idea into a precise, executable spec in five phases, files it as an issue and can start an agent on it in a fresh worktree.
addyosmani/agent-skills
Writes a structured specification before any code, moving through gated specify, plan, tasks and implement phases, with an optional capability map for multi-part requests.
modu-ai/moai-adk
Manages SPEC documents for MoAI-ADK development, with GEARS or EARS requirement notation, acceptance criteria and a link into the Plan-Run-Sync workflow.
JuliusBrussee/skills
Run a spec-driven agent loop where coding tasks live as markdown specs that move through inbox → active → archive, get implemented by Claude Code or Codex, and pass a review gate before they count…
cashew-labs/libretto
Researches the codebase and relevant docs, asks clarifying questions, then writes a spec sheet in specs/ for a significant feature or complex fix.
LichAmnesia/lich-skills
Runs a gated Spec, Plan, Build, Test, Review, Ship workflow so non-trivial changes are specified, verified and reviewed before they ship, with a named artifact per phase.
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
Categories
Structured spec-first development workflow with multi-role expert review gates: clarify requirements, author spec documents (requirements/design/tasks), generate code from spec, verify with real…. Spec Coder is an agent skill from LeoYeAI/openclaw-master-skills. Structured spec-first development workflow with multi-role expert review gates: clarify requirements, author spec documents (requirements/design/tasks), generate code from spec, verify with real tests, and iterate while keeping spec and code in sync.
Spec Coder fits situations like: user wants to build a feature; system with a spec-first approach; mentions spec coding; spec-driven development.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill spec-coder -a claude-code`. Or copy the skill folder (skills/spec-coder in LeoYeAI/openclaw-master-skills) into .claude/skills/spec-coder in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill spec-coder -a codex`. Or copy the skill folder (skills/spec-coder in LeoYeAI/openclaw-master-skills) into .agents/skills/spec-coder in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill spec-coder -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-coder, .gemini/skills/spec-coder, .github/skills/spec-coder and .opencode/skills/spec-coder in your project.
Going by SKILL.md and its folder, Spec Coder needs the command-line tools its instructions call (npm and go).
SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
Spec Coder is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 5.3k tokens (SKILL.md is roughly 21k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 10k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Spec Coder: Spec Writer (garrytan/gstack, 136k stars), Spec-Driven Development (addyosmani/agent-skills, 102k stars), MoAI SPEC Workflow (modu-ai/moai-adk, 1.2k stars) and Loop Factory (JuliusBrussee/skills, 161 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,158 GitHub stars. The repository holds 1,215 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.