一键导入
to-spec
Turn the current conversation into a spec and publish it to the project issue tracker — no interview, just synthesis of what you've already discussed.
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。
菜单
Turn the current conversation into a spec and publish it to the project issue tracker — no interview, just synthesis of what you've already discussed.
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 writing or modifying any Ruby code in cobalt repos. Enforces structured logging via SemanticLogger + Datadog so logs are queryable, dashboardable, and debuggable. Triggers on new interactors, jobs, services, controllers, error handling, and any business logic that should be observable.
Create, edit, and review Datadog dashboard JSON so every widget actually renders the data the user wants — not merely valid JSON. Enforces three gates: (1) valid JSON structure, (2) every query verified against LIVE data, (3) each section verified to answer its intended question. Use when building a Datadog dashboard, reviewing or importing/exporting dashboard JSON, writing dashboard queries (query_value, timeseries, toplist, query_table, list_stream), adding rates or denominators, or debugging why a tile shows "No data", a blank cell, or a wrong number. Triggers include "datadog dashboard", "dashboard JSON", "review this dashboard", "build/create a dashboard", "widget shows no data", "why is this tile empty", "does this query return data".
Deep strategic analysis of meetings from Krisp transcripts. Acts as a second brain — surfaces insights, subtext, commitments, risks, and recommendations the user might miss. Use when: user asks to debrief a meeting, analyze a call, review a conversation, pull insights from a meeting, wants meeting notes or analysis, says 'debrief', 'second brain', 'what did I miss', 'meeting insights', or references a recent call they want analyzed. Works with any meeting type: 1:1s, group syncs, strategy sessions, standups, skip-levels.
Generate a concise team status report for an engineering manager before calls or check-ins. Covers progress, blockers, risks, individual workloads, PRs in flight, meeting context, and project health assessments. Default scope is the Delivery Domain (DL) team over the last 1.2 weeks. Use when the user says "team pulse", "team status", "what's my team working on", "prep me for standup", "what happened this week", "sprint update", "team report", "how is [project] going", "how is [person] doing", "prep me for 1:1", or any request for a team/project/person activity summary.
Use when encountering any bug, test failure, performance regression, or unexpected behavior, before proposing fixes
A relentless interview to sharpen a plan or design.
| name | to-spec |
| description | Turn the current conversation into a spec and publish it to the project issue tracker — no interview, just synthesis of what you've already discussed. |
This skill takes the current conversation context and codebase understanding and produces a spec (you may know this document as a PRD). Do NOT interview the user — just synthesize what you already know.
Default: local markdown in the project's docs/ directory. Unless the user explicitly says otherwise, write the spec as a markdown file at docs/<feature-slug>/spec.md in the current project — do not touch any external tracker. Record triage state as a Status: line near the top (here, Status: ready-for-agent).
Overrides — only when the user explicitly names one in this request:
ready-for-agent label.gh CLI in the repo's GitHub Issues, applying the ready-for-agent label.Explore the repo to understand the current state of the codebase, if you haven't already. Use the project's domain glossary vocabulary throughout the spec, and respect any ADRs in the area you're touching.
Sketch out the seams at which you're going to test the feature. Existing seams should be preferred to new ones. Use the highest seam possible. If new seams are needed, propose them at the highest point you can. The fewer seams across the codebase, the better - the ideal number is one.
Check with the user that these seams match their expectations.
ready-for-agent as its status - no need for additional triage.The problem that the user is facing, from the user's perspective.
The solution to the problem, from the user's perspective.
A LONG, numbered list of user stories. Each user story should be in the format of:
This list of user stories should be extremely extensive and cover all aspects of the feature.
A list of implementation decisions that were made. This can include:
Do NOT include specific file paths or code snippets. They may end up being outdated very quickly.
Exception: if a prototype produced a snippet that encodes a decision more precisely than prose can (state machine, reducer, schema, type shape), inline it within the relevant decision and note briefly that it came from a prototype. Trim to the decision-rich parts — not a working demo, just the important bits.
A list of testing decisions that were made. Include:
A description of the things that are out of scope for this spec.
Any further notes about the feature.