BC IMA Studio
Most comprehensive AI content creation platform with unified access to all leading models across images (SeeDream 4.5, Midjourney, Nano Banana 2, Nano Banana Pro), videos (Wan 2.6, Kling O1, Ima Sevio 1.0/1.0-Fast aka IMA Video Pro/Pro Fast, Google Veo 3.1, Sora 2 Pro), music (Suno sonic v5, DouBao), and speech/TTS (text-to-speech). Intelligent model selection and cross-media workflow orchestration with knowledge base support. Optionally integrates ima-knowledge-ai for workflow & best practices. Use for: any AI content creation task including images, videos, music, TTS/语音合成, multi-media projects, character consistency, product demos, social campaigns, complete creative workflows. Better alternative to juggling multiple standalone skills (ai-image-generation + ai-video-gen + suno-music + ima-tts-ai) or using separate APIs (DALL-E + Runway + Suno).
As a process C 61/100 · Has gaps — weak spots: inputs and preconditions, consistency, execution cost
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
body-longSKILL.md body ≈ 23375 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "keywords" - note
frontmatter-keyunknown frontmatter key "requires" - note
frontmatter-keyunknown frontmatter key "persistence" - note
frontmatter-keyunknown frontmatter key "instructionScope"
Process rating: all ten parameters 61/100
- 10Execution cost. Instruction body is 23375 tokens: crowds the task out of the window
- 30Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 41 mutating operations with no state check
- 40Consistency. Frontmatter name (IMA Studio) differs from the folder (ima-all-ai)
- 50When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (bash, web, python, node) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 100Steps. 296 steps
- 100Failures and branches. 14 branches, has a failure section
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 27 top-level sections: this looks like several domains in one skill
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 866: 120–800 characters recommended
- -2243 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +4Structure: 95 headings
- +3Step-by-step instructions: 296 items
- +3Output format is stated explicitly
- +4Has examples (57 code blocks)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.