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super-spec
Create product, technical, PRD, RFC, agent-build, and handoff specs from rough context.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Create product, technical, PRD, RFC, agent-build, and handoff specs from rough context.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Use when an existing UI artifact needs to be iterated to a verified 5/5 design score. Enumerate every view, run independent dead-item and design-rubric audits, apply fixes, then re-score with fresh reviewers until every view and the whole app pass. Designed for Enterprise Crew/OpenClaw operators finishing prototypes without false 5/5 claims.
Send and search messages across WhatsApp, LinkedIn, Instagram, Discord, Telegram, Signal, Messenger, Slack, and other Beeper-connected networks through the Beeper Desktop API. Use when an agent needs operator-approved cross-channel messaging, chat lookup, message search, or local DM history access through Beeper.
Watch SuperAda for new posts, OpenClaw releases, Weekly Claw dispatches, tools, skills, and workflow packs. Use when an agent is asked to subscribe to SuperAda, check SuperAda updates, monitor Henry/SuperAda releases, or produce a weekly digest of what changed on superada.ai.
| name | super-spec |
| description | Create product, technical, PRD, RFC, agent-build, and handoff specs from rough context. |
Super Spec turns rough operator context into an executable spec that a builder, reviewer, or agent fleet can act on after context compaction.
Use it when a task needs more than a plan: product requirements, technical design, proof gates, rollout, rollback, builder prompt, and reviewer prompt in one durable artifact.
Agent work often fails because the handoff is mushy: unclear requirements, hidden assumptions, no proof gate, and no way for another agent to resume after context compaction. Super Spec is the antidote. It compiles messy context into a document that can be built, reviewed, and audited.
The included runner prefers a Pro/Oracle route when configured. It is fail-closed by default: if Pro is expected and the Pro route fails, it stops instead of silently writing a fallback spec. Use --no-pro for an intentional non-Pro run, or set SUPER_SPEC_ALLOW_CODEX_FALLBACK=on only when a fallback spec is acceptable.
For long Pro jobs, use background Responses mode and enough time:
export SUPER_SPEC_ORACLE_BACKGROUND_MODE=on
export SUPER_SPEC_PRO_TIMEOUT=3600
export SUPER_SPEC_PRO_HTTP_TIMEOUT=60m
export SUPER_SPEC_ORACLE_WALL_TIMEOUT=3700s
curl -sSf https://superada.ai/install/super-spec | sh
super-spec --title "Enterprise Local Model Orchestrator" --input context.md
Or directly:
skills/super-spec/scripts/run-super-spec.sh --title "<title>" --input <context-file>
Set these when using a Pro route:
export SUPER_SPEC_PRO_MODEL=gpt-5.4-pro
export SUPER_SPEC_PRO_BASE_URL=http://127.0.0.1:4000/v1
export SUPER_SPEC_PRO_API_KEY=...
For Azure Responses via Oracle, set your own deployment values:
export SUPER_SPEC_AZURE_ENDPOINT=https://your-resource.openai.azure.com
export SUPER_SPEC_AZURE_DEPLOYMENT=gpt-5.4-pro
export SUPER_SPEC_AZURE_API_VERSION=2025-04-01-preview
Do not paste API keys into specs, prompts, or public docs.