CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

render-podcast-skit

Render a two-host podcast ad from a brand config and dialogue script. Includes the working planner, full-frame and split-screen assembly, captions from measured character timings, brand end card, approved paid-step adapters, and 65 quality-check falsification cases. Use for short conversational ads with two stable hosts in one room.

Quality

93%

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

92%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 lean, well-structured overview: an explicit README-first pointer, a gated six-step workflow with pre-spend review checkpoints and a falsification self-test, and dense non-negotiables covering cost, resume, and failure behavior. The sole gap is that entry-point script names/commands never appear in the body itself.

DimensionReasoningScore

Conciseness

The body is dense, telegraphic operational prose with zero concept explanation: "Timing files must share the audio's stem; guessed caption times are unsuitable for delivery" and "Motion inserts are unimplemented and fail explicitly if enabled" carry only information Claude cannot already know. Every token earns its place, matching the 5 anchor; the brief "Human version" header is 3 lines and states scope, not padding.

5 / 5

Actionability

The guidance is concrete and directive — copy the examples, replace the fictional cast, install named prerequisites (Python, Pillow, requests, ffmpeg, ffprobe, caption font), measure audio before lip-sync, run the bundled self-test — but every executable detail is deferred to the scripts README and no script path or command appears in the body ("the bundled driver", "the bundled self-test" are unnamed). Mostly executable with minor gaps, i.e., the 4 anchor; the 5 anchor would require copy-paste-ready commands covering common cases, and the 3 anchor's "pseudocode / missing key details" does not fit since the directives are specific and the README pointer is explicit.

4 / 5

Workflow Clarity

The six-step sequence is clearly ordered with explicit validation checkpoints at every paid step: review script/layout/cut pace "before generation", "Review the plate before spending on clips", hold the approved cast through reference edits, then "watch it end to end" and "Run the bundled self-test to prove the checks reject their known-bad inputs" — an explicit falsification step. Recovery guidance exists ("Preserve completed audio and timing responses when resuming. Never re-bill a completed beat..."), satisfying the 5 anchor's feedback loops for a costly batch workflow.

5 / 5

Progressive Disclosure

The body is a correct overview that defers all executable detail one level deep: "Read the bundled scripts README first" is an explicit, well-signaled pointer, and every referenced bundle artifact (scripts/README.md, the arc menu arcs.json, the driver, selftest.py) exists in the bundle with nothing inlined that belongs in a separate file. The 5 anchor fits; the 4 anchor's "minor organization gaps" would apply if references were unnamed or buried, which they are not.

5 / 5

Total

19

/

20

Passed

Description

92%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: concrete what, explicit when, distinct niche, and third-person voice throughout. The only improvement space is broader natural-synonym coverage in the trigger clause.

DimensionReasoningScore

Specificity

"Render a two-host podcast ad from a brand config and dialogue script" states the core action, and the enumeration "working planner, full-frame and split-screen assembly, captions from measured character timings, brand end card, approved paid-step adapters, and 65 quality-check falsification cases" lists multiple specific concrete capabilities with comprehensive coverage of the niche. This matches the 5 anchor ("multiple specific concrete actions; comprehensive coverage") rather than 4, whose "minor gaps in coverage" would require a missing capability.

5 / 5

Completeness

Both halves are explicit: the first sentence answers "what does this do" with concrete verbs and inputs, and "Use for short conversational ads with two stable hosts in one room" is an explicit when-clause with concrete trigger phrases. This is the 5 anchor exactly; the 4 anchor would require the when-clause to be less explicit, which it is not.

5 / 5

Trigger Term Quality

Natural trigger terms are present — "podcast ad", "two-host podcast", "conversational ads", "brand" — and the "Use for short conversational ads with two stable hosts in one room" clause reads like what a user would actually say. Not a 5 because common synonyms and variations ("commercial", "sponsor read", "video ad", any file extensions) are missing.

4 / 5

Distinctiveness Conflict Risk

"Two-host podcast ad" with "two stable hosts in one room" carves out a clear niche with distinct triggers; nothing in the description would plausibly fire a general video, audio, or podcast-production skill. Minimal conflict risk, matching the 5 anchor.

5 / 5

Total

19

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository

gooseworks-ai/goose-skills

Path

skills/ads/capabilities/render-podcast-skit/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.