AC threads-growth
The Threads account-growth strategy skill -- the channel layer above threads-post. Use when someone wants to grow a Threads account, understand the Threads algorithm, fix reach, plan cadence, or set a Threads strategy. Threads is conversation-first, and the #1 growth lever is Mosseri's "reply more than you post": replies are weighted heaviest and first-hour engagement velocity is the top ranking factor. Uses the TALKS framework. Reads brand-profile + goals-and-kpis first. The agent strategizes the channel + drafts original posts (published via WoopSocial) and suggested replies; BUT the reply flywheel is human/community-management (no reply surface in WoopSocial), and Communities/DMs/dashboards/analytics are native. No engagement-bait, original not recycled, positive tone, metrics never fabricated, growth compounds over 60-90 days. Distinct from threads-post (the single-post craft) and community-management (the reply execution); uses Threads as a discovery funnel into instagram-growth.
The Threads account-growth strategy skill -- the channel layer above threads-post.
As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 56/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 5 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 100Tools and files. No external tools needed
- 100Steps. 11 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1500 tokens
- low No test case covers injection arriving through data
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 999: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +4Structure: 9 headings
- +3Step-by-step instructions: 11 items
- +4Reference files are cited in the instructions (3 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.