BB content-brief-authoring
How to author a content brief that actually guides a writer (human or AI) to produce a piece that ranks, converts, or both. Per-piece editorial brief: target keyword and cluster, search intent, audience and JTBD, heading structure, entity coverage for AEO/GEO, internal linking strategy, success criteria. The middle path between thin briefs (a keyword and a deadline) and thick briefs (a 4-page document nobody reads). Triggers on content brief, brief the writer, brief the article, brief authoring, content brief template, brief audit, per-piece brief, editorial brief, target keyword brief, search intent brief. Also triggers when briefing a human writer or an AI agent on a single content piece.
How to author a content brief that actually guides a writer (human or AI) to produce a piece that ranks, converts, or both.
As a process B 74/100 · Nearly there — weak spots: result and completion, running it twice, progress reporting
The same skill appears in 2 more places: claude-skills, claude-skills
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: 10. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 5385 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 74/100
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 13 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 55Failures and branches. 1 branches
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 5385 tokens
- 100Tools and files. No external tools needed
- 100Steps. 78 steps
- 100Consistency. Name and required fields are in place
- low 15 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)
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 699: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 78 items
- +4Reference files are cited in the instructions (8 of 8)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.