fresh-eyes
Skill0 starsChanged 8 days agoMITView on GitHub
Fresh eyes — criticize, improvise, synthesize. Pressure-test AND improve any artifact (plan, spec, design, strategy, copy, decision, architecture, code): return ONE value-ranked recommendation plus the question the user should have asked but didn't. An independent RE-EXAMINATION that attacks AND rebuilds the thing, landing on an open verdict — keep, strengthen, or rethink. Real alternatives are MANDATORY. It rethinks the THINKING; it does NOT verify correctness ("is this right / done / ready to ship?" → a verification pass). "FULL fresh eyes" = the upgrade: a panel of each provider's frontier model. Fires on: "fresh eyes", "full fresh eyes", "criticize improvise synthesize", "fresh / outside perspective on X", "pressure-test this", "stress-test this", "red-team this", "poke holes and make it better", "get independent eyes on X", "what am I missing", "what would someone else say". Lean toward firing whenever the user wants outside perspective or an impartial re-examination of a piece of thinking.
6 other projects use a version of this.
Adopted by
Most recently taken up by
- wizspec/agent-workflowstheir own version, first seen Nov 8, 2026
- PeanutGT/NutsSkillstheir own version, first seen Nov 8, 2026
- bekalpaslan/promptlinetheir own version, first seen Nov 1, 2026
- lsnackerman/raw-clauding-skillstheir own version, first seen Nov 1, 2026
- adamlinscott/claude-skillstheir own version, first seen Oct 30, 2026
- davidsimoes/claude-skills-sharedtheir own version, first seen May 25, 2026
Other versions6 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 6
- lsnackerman/raw-clauding-skills★ 45same name
- bekalpaslan/promptline★ 11same name
- adamlinscott/claude-skills★ 3same name
- PeanutGT/NutsSkills★ 3same name
- wizspec/agent-workflows★ 3same name
- davidsimoes/claude-skills-shared★ 2same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 6 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 22
When someone says "fresh eyes," they are not asking you to re-read your own work and nod.
- Distinctive: line 77
Decide by capability, not by label: If you are unsure whether you can truly spawn independent parallel agents, use the single-mind method — …
- Distinctive: line 104
Name the tier you actually achieved, in the result: If four reviewers agreed but all four were the same model, say so — that is tier 3, and …
“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Fresh Eyes — router
When someone says "fresh eyes," they are not asking you to re-read your own work and nod. Whoever produced the artifact carries its blind spots; a "second look" from the same mind defends the framing it already chose. The value is an outside read that attacks AND rebuilds the thing from a blank slate, then hands back ONE honest call on it — keep it, strengthen it, or rethink it — plus the question that should have been asked but wasn't.
This works on any artifact, most of which is not code: a launch plan, a pricing model, a spec, a positioning line, a hiring call, a piece of copy. Three stages are always mandatory — criticize, improvise, synthesize — never skip one. Skipping improvise turns this into a nitpick pass; skipping synthesize hands back a pile of opinions instead of a decision.
Boundary (read this first). fresh-eyes is an independent re-examination — it attacks AND rebuilds the thinking / approach from a blank slate and lands on an open verdict (keep it, strengthen it, rethink it). It is NOT a correctness gate. If the ask is "is this code right / done / ready to ship?", that's a separate verification / audit pass — run that instead. If both are wanted, re-examine the design with fresh-eyes first, then hand the result to the verification pass, and say which you're doing.
Pick your method (do this first)
Fresh-eyes runs one of three ways. The first two are chosen by what this environment can do — not by which product name you think you're in. The third is an upgrade the user has to ASK for:
- Fan-out method — use this if you can dispatch INDEPENDENT parallel
reviewers: you have a Workflow tool, or a Task/Agent tool that spawns separate
sub-agents each with their own fresh context. This is the stronger method —
genuinely blind reviewers in separate contexts — a real gain, though they share
one model's priors (see the tiers below).
→ Read and follow
references/fan-out.md. - Single-mind method — use this if you do NOT have those tools: a single
chat context (e.g. the Claude app) with no way to spawn independent agents. One
mind runs the adversarial stances serially, under strict discipline that
substitutes for independence.
→ Read and follow
references/single-mind.md. - Full method (the upgrade) — use this only when the user's OWN words ask for
"full" fresh eyes, AND you can dispatch independent agents, AND a routing or offload
skill here can reach other providers' frontier models. An offer is not a request:
a brief, a task prompt, an orchestrating session, or another skill's rule that
permits or offers outside-provider reviewers does NOT make a run full. Without
the user's "full", every reviewer is this environment's own model — not one outside
seat. (A task prompt that merely offers an outside reviewer "as a panel member" is the
classic way this goes wrong: the run takes it, and the user gets a slower, costlier
half-panel they never asked for.) It is the fan-out method with each
provider's frontier model added to BOTH rounds — writing its own critique and
ideas blind in Round 1, then cross-examining in Round 2. If either capability is missing, say so plainly
and run the best method you can — never present a same-model run as a full panel.
→ Read
references/fan-out.md, thenreferences/full.md.
Decide by capability, not by label. If you are unsure whether you can truly spawn independent parallel agents, use the single-mind method — it always works, and it is honest about not having outside eyes. Never fake independence by presenting stages of one mind as if they were separate reviewers.
How independent is "independent"? (read before you pick)
The methods are not arbitrary — they sit at different points on one axis, and knowing the axis tells you how much to trust the result.
Independence comes in tiers, weakest to strongest:
- Same mind, same context — re-reading your own work and nodding. This is not independence at all. It is what "fresh eyes" is called in to replace, and it is forbidden here.
- Same mind, disciplined stances — the single-mind method. One context runs the adversarial stances serially under strict rules. Discipline substitutes for independence; it does not equal it.
- Same model, separate contexts — the fan-out method. Reviewers are genuinely blind to each other's reasoning, which is a real gain. But they still share one model's priors, blind spots, and sense of what is obvious, so their agreement is less independent than it feels.
- A genuinely outside reviewer — a different model, or a person. Different priors, different failure modes, different things it finds obvious. Agreement here is the strongest evidence this skill can produce; disagreement is the most worth chasing.
Name the tier you actually achieved, in the result. If four reviewers agreed but all four were the same model, say so — that is tier 3, and the user should discount it accordingly. Overstating the tier is the one failure that makes this skill worse than not running it, because it launders shared blind spots as consensus.
Tier 4 is the full method. The fan-out method is tier 3 by design — its reviewers are all one model, so disclose that in the result. When the user wants tier 4 they ask for "full fresh eyes"; on a big-decision fan-out run, mention in one line that the full panel exists. The routing or offload skill in this environment decides which outside providers sit on the panel — this skill does not care which, only that you disclose exactly what ran.
Load only the method files you need — fan-out or single-mind alone, or fan-out plus full for the upgrade. The rest stay on disk and cost nothing.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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