Install
$ agentstack add skill-amey-thakur-ai-skills-design-doc-google-style ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Google-style design doc
At Google the design doc is where an engineer reasons in prose before touching code, and where reviewers kill a flawed approach while changing it is still cheap. A doc that lists only the chosen design, skipping the argument for it, is a status update in a decision's clothing: no reader can tell whether the author weighed anything else or simply picked the first idea that compiled.
Method
- Open with context, hold back the solution. The first section states the
problem, who has it, and what exists today. An engineer three teams away should grasp why the work matters before meeting a single class name. If you cannot describe the problem without naming your fix, you have not understood it yet.
- Split goals from non-goals in plain lists. Write what the design must
achieve, then the tempting adjacent problems you are deliberately leaving alone. Non-goals are the section reviewers cite most: they stop scope creep and keep each meeting from relitigating the boundary.
- Argue the alternatives considered, do not list them. Give each serious
option a subsection: how it works and the specific reason you rejected it. Two options waved off in one line each signal an author who decided first and documented after. Include "do nothing" whenever it is plausible.
- Make the chosen design concrete enough to attack. Data model, API shapes,
the failure and rollback path, and the migration from today's state. Vague designs pass review and fail in code because reviewers had nothing sharp to push against.
- Budget the cross-cutting costs up front. Add a short pass on security,
privacy, latency, and on-call load. Reviewers from those areas read straight to their paragraph, and a missing one bounces the doc back before the design is even discussed.
- Circulate for comment, then hold the review. Share the doc days ahead, let
reviewers leave inline comments, and resolve each in the doc before or during a scheduled review with the tech lead and affected teams. Approval is an owner marking it LGTM, not silence on a thread.
Litmus tests
- Could a reviewer who dislikes your choice find the paragraph that answers their
objection, or would they have to raise it live?
- Does every rejected alternative carry a reason specific to it, not boilerplate
that would fit any option?
- Are the non-goals load-bearing, so that deleting one would widen scope?
Boundaries
A one-day bug fix needs no doc: the ritual pays off only when a wrong approach costs more than writing the argument does. Follow the team's template and approval convention where one exists, and defer to the rfc-process skill when the decision needs a wider, time-boxed audience than a single review can gather.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Amey-Thakur
- Source: Amey-Thakur/AI-SKILLS
- License: MIT
- Homepage: https://amey-thakur.github.io/AI-SKILLS/
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.