Agent skill · marketing growth · jeremylongshore
assemblyai-cost-tuning
Analyze and control AssemblyAI model, feature, duration, retry, concurrency, and LLM Gateway spend using measured usage. Use when setting budgets or investigating anomalies. Trigger with "AssemblyAI cost", "AssemblyAI billing", or "reduce AssemblyAI spend".
Why this skill is useful
Provides specific cost estimation scripts and model selection strategies for optimizing AssemblyAI usage that the AI wouldn't reliably generate on its own.
What it needs
Requires grep, read installed locally. Requires assemblyai account access. About 2k tokens when loaded. Last updated 2026-08-07. 2,604 stars on the source repository.
What this skill does
AssemblyAI Spend and Usage Control Overview Control spend with dated prices and measured workload usage. Keep quality, privacy, reliability, credentials, and destructive state as separate gates. Prerequisites The target repository or integration path and the requested operator outcome. The AssemblyAI project, environment, region, data classification, and accountable owner. Current first-party documentation plus credentials only for a narrowly approved live check. Current Contract Pre-recorded billing follows successfully processed audio duration and selected models or add-ons; published guidance says failed transcripts are not charged. Streaming follows session duration, so termination matters. LLM Gateway has separate economics. Prices are time-sensitive and belong in reviewed billing inputs. Authentication For live work, inject ASSEMBLYAIAPIKEY from an approved secret manager and send the raw value only in the AssemblyAI Authorization header to the configured first-party host. Never print, commit, place in a URL, or expose it to an untrusted client. Callback secrets and temporary streaming tokens are separate credentials. Instructions 1. Inventory audio and session duration, model mix, features, gateway use, retries, and duplicates. 2. Retrieve dated current prices and account reporting. 3. Attribute usage through internal job metadata rather than keys per customer. 4. Remove duplicate submissions, abandoned sessions, and needless polling. 5. Compare supported models against fixed quality and latency gates. 6. Set budgets, anomaly alerts, and hard ceilings for backfills and gateway work. Tool Discipline Use Read, Glob, and Grep to inspect repository code, configuration, fixtures, and evidence. Use Write and Edit only for approved implementation or documentation changes. Do not call AssemblyAI, upload audio, open a streaming session, mint a token, replay a callback, deploy, rotate a key, or delete a transcript merely because this skill was invoked. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills jeremylongshore/assemblyai-cost-tuning--467271