CtrlK
BlogDocsLog inGet started
Tessl Logo

explore

Find out what audience signals exist for an idea about people. Describe who you're trying to reach in plain English and see what's out there — which signals Watt has, how big and how fresh each one is, and what related angles are worth a look. A guided, one-question-at-a-time walk, so you get the lay of the land before building anything from it. Start here to size up an idea or get your bearings — "what's out there for runners", "is Watt a fit for X", "what else relates to Y" — or type /watt:explore.

72

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

77%

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

The body is highly actionable with a clear, checkpointed workflow and strong error-recovery guidance, but it is longer than necessary and keeps all operational detail inline rather than splitting it across a real reference bundle. Tightening repetition and externalizing the render contract would lift the weaker dimensions.

Suggestions

Trim repeated rules and rhetorical restatements (e.g., 'never invent a signal' and 'read-only, discovery-only' appear across multiple sections) to reduce token cost and lift conciseness toward 3.

Move the render-contract specifics into the referenced context/visuals.md and keep SKILL.md as a lean overview, so progressive disclosure has a real, present one-level-deep reference rather than an inline monolith.

Consolidate the 'How to behave', 'Refuse cleanly', and 'Failure modes' sections into a single concise appendix to avoid restating guidance already embedded in the numbered flow.

DimensionReasoningScore

Conciseness

The body is mostly efficient and assumes Claude's competence, but it is long with repeated restatements of the same rules ('never invent a signal' across step 3 and 'How to behave'; 'read-only, discovery-only' restated several times) and rhetorical padding ('the steering is the product') that could be tightened.

2 / 3

Actionability

Guidance is concrete and executable throughout — specific tool calls ('run a quick trait_search', 'make the visualize tool's read_me setup call'), exact dispatch arguments (phrasing, internal role, entity_type default person, kept/rejected hashes), and copy-paste-ready phrasings and option-label formats ('name · ~size · fresh/standard'), which the rubric rewards for instruction-only skills.

3 / 3

Workflow Clarity

A clear numbered sequence (Entry through step 7) carries explicit decision gates and checkpoints ('Then stop', 'End every turn at its question') plus feedback loops for failures — a failed dispatch offers re-probe/different angle/carry on, and an auth failure stops and routes to /watt:configure.

3 / 3

Progressive Disclosure

No bundle files exist in references/, scripts/, or assets/, and the entire ~200-line operational spec is inline in SKILL.md; the referenced context/visuals.md render contract is not a present bundle file, so detail that could be split out (render-contract specifics, failure-mode appendix) remains monolithic with structure present but not well-signaled to separate files.

2 / 3

Total

10

/

12

Passed

Description

100%

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

The description is specific, triggers-rich, complete, and distinctive, cleanly answering both what the skill does and when to invoke it. It is a strong example of a well-formed skill description.

DimensionReasoningScore

Specificity

Multiple concrete actions are named — 'find out what audience signals exist', 'see what's out there — which signals Watt has, how big and how fresh each one is, and what related angles are worth a look' — matching the score-3 anchor that lists several specific concrete actions.

3 / 3

Completeness

It states both what the skill does (find/size/freshness of audience signals) and an explicit 'Start here to...' trigger clause with example queries and the slash command, clearly answering both what and when.

3 / 3

Trigger Term Quality

Natural user phrasings are quoted verbatim — 'what's out there for runners', 'is Watt a fit for X', 'what else relates to Y', 'size up an idea', 'get your bearings', plus the /watt:explore slash command — giving good coverage of terms a user would actually say.

3 / 3

Distinctiveness Conflict Risk

The Watt/Signal-Graph discovery niche is narrowly scoped with branded triggers like '/watt:explore' and 'is Watt a fit for X' that are unlikely to fire for other skills.

3 / 3

Total

12

/

12

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
wattdata/plugin
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.