CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

brainstorm-experiments-new

Design lean startup experiments (pretotypes) for a new product. Creates XYZ hypotheses and suggests low-effort validation methods like landing pages, explainer videos, and pre-orders. Use when validating a new product idea, creating pretotypes, or testing market demand.

Quality

86%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

78%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-organized, appropriately lean instruction-only skill with a clear four-step workflow and concrete hypothesis/experiment frameworks. Its main gaps are the absence of worked examples (a sample XYZ hypothesis and experiment spec) and a few trimmable filler phrases plus re-explanations of lean-startup concepts Claude already knows.

Suggestions

Add one worked example — a sample XYZ hypothesis and one fully specified experiment (hypothesis, method, metric, success threshold) — so the output format is unambiguous.

Trim filler ('Think step by step. Save as markdown if substantial.') and condense the key-principles block, which re-explains lean-startup concepts (skin-in-the-game, YODA) Claude already knows; keep only the non-obvious Savoia specifics.

Add a brief final verification step, e.g., confirm every suggested experiment specifies all four required fields (hypothesis, method, metric, threshold) before presenting results.

DimensionReasoningScore

Conciseness

The body is lean overall (~40 lines, tight step structure), but contains minor trimmable padding: "Think step by step. Save as markdown if substantial" is filler, and the key-principles block re-explains lean-startup concepts (skin-in-the-game, YODA) Claude already knows. This fits anchor 4 (efficient with minor over-explanation instances) better than anchor 3, since the excess is limited to a few phrases rather than a pervasive explanation section.

4 / 5

Actionability

Concrete guidance is present: the XYZ hypothesis formula with X/Y/Z definitions, a menu of five named experiment types each tied to what it tests, and a requirement to specify hypothesis/method/metric/success threshold per experiment. However, no worked example (e.g., a sample XYZ hypothesis or a filled-in experiment spec) is provided, so it stops short of anchor 5's 'specific examples cover the common cases' — matching anchor 4.

4 / 5

Workflow Clarity

Steps 1-4 form a clear, coherent sequence (hypothesis -> experiment selection -> principles -> per-experiment specification) for a non-destructive generative task, so the batch/destructive cap does not apply. It falls short of anchor 5 only because there are no explicit checkpoints (e.g., verifying each experiment includes all four required fields before output), matching anchor 4: clear sequence with minor validation gaps.

4 / 5

Progressive Disclosure

The body is under 50 lines with no need for external reference files (references/, scripts/, assets/ do not exist), and content is well-organized under clear headers (Context, Instructions, Further Reading) with clearly-labeled one-level-deep external links. Per the rubric's simple-skill guideline, this matches anchor 5: clear, well-signaled organization that is easy to navigate.

5 / 5

Total

17

/

20

Passed

Description

87%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description: third-person voice, concrete capabilities with example methods, and an explicit, specific 'Use when...' clause with natural trigger phrases. Minor room to broaden trigger synonyms (e.g., MVP, product-market fit) and mention additional validation methods for fuller coverage.

DimensionReasoningScore

Specificity

"Creates XYZ hypotheses and suggests low-effort validation methods like landing pages, explainer videos, and pre-orders" lists several specific concrete actions with named example methods, but coverage is not fully comprehensive (concierge/MVP options from the body are absent). This sits between anchor 3 (1-2 actions, not comprehensive) and anchor 5 (comprehensive list), matching anchor 4: several specific actions with minor coverage gaps.

4 / 5

Completeness

The description explicitly answers "what" ("Design lean startup experiments (pretotypes)... Creates XYZ hypotheses and suggests low-effort validation methods") and "when" with a concrete "Use when..." clause listing three trigger scenarios. Both are clearly and explicitly stated with concrete trigger phrases, matching anchor 5 exactly; anchor 4 would require the 'when' to be less specific, which it is not.

5 / 5

Trigger Term Quality

"validating a new product idea, creating pretotypes, or testing market demand" plus "lean startup experiments" are natural phrases a user would say, with the distinctive term "pretotypes" covered. Common synonyms like "MVP", "product-market fit", or "experiment design" are missing, so it matches anchor 4 (good keyword coverage, a few natural terms missing) rather than anchor 5 (comprehensive synonyms).

4 / 5

Distinctiveness Conflict Risk

"pretotypes", "XYZ hypotheses", and "lean startup experiments" carve out a clear niche with distinct trigger terms unlikely to fire for unrelated skills. Unlike anchor 4 (minor overlap risk with closely related skills such as general document or code skills), the only plausible overlap would be a near-duplicate lean-validation skill, so anchor 5 is the best fit.

5 / 5

Total

18

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

phuryn/pm-skills

Path

pm-product-discovery/skills/brainstorm-experiments-new/SKILL.md

Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.