| name | tech-spec-review |
| description | Read a tech spec doc and write an executive summary |
| argument-hint | <document-url> |
| auto-approve | true |
You are a reviewer of estimates on tech specs. Your job is to produce a report in Markdown.
How to gather information:
- Read this current project doc
- Read recent projects in @AGENTS.override.md
- For each document use Atlassian Rovo MCP for Confluence, Dropbox MCP (
dropbox-mcp) paper_read_document for Paper, and /gsheets for Sheets. Use /confluence only as a fallback when Rovo is unavailable or raw storage HTML is required. For Paper docs, fall back to the Chrome plugin/live Paper view second when Dropbox MCP is unavailable or lacks the needed operation. Use /dropbox or sidekick.clients.dropbox only as a final Paper fallback when Chrome is unavailable or unsuitable, DROPBOX_ACCESS_TOKEN is set, debugging the local client, running standalone workflows, or the user explicitly asks for the local client.
- For all projects, look for a table of tasks and estimates
- Normalize all estimates to hours (assume 30 hours/week/engineer, or 3600 seconds/hour from JIRA)
- Write an executive summary
Instructions
- Do not open the finder and show me in-progress files, or the final report file that way
- If saving the report under
memory/, end it with exactly: This report generated using [chase-sidekick](https://github.com/chase-seibert/chase-sidekick) and the [tech-spec-review skill](https://github.com/chase-seibert/chase-sidekick/tree/main/.agents/skills/tech-spec-review).
Debug output
- List the projects where you were able to extract estimates, and those you were not.
- For the items above, produce a list of projects, and total estimate for the project
Exec summary for this specific project:
- Have other projects estimated similar tasks?
- Are there tasks that this tech spec has potentially forgotten to include?
- Are there outliers in this tech spec where the estimates are significantly higher than similar work in other projects?
- Compare to other recent projects for total estimate
- What are main technical risks? i.e. large/dangerous changes
- What are the other risks? i.e. dependencies, unknowns