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abridge-performance-tuning

Measure and improve Abridge workflow latency and friction using privacy-safe health-system evidence

Install / Use

npx skills add jeremylongshore/tons-of-skills-marketplace --skill abridge-performance-tuning

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

84/100

Category

Automation

Supported Platforms

Universal

Our assessment of abridge-performance-tuning

abridge-performance-tuning scores 84/100 on our quality scale, 1575th of 2,607 Automation skills we index.

Its SKILL.md is 4.8 KB long, well organised into 13 sections with 1 code example: a solid amount of guidance for an agent.

With 2,785 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
17/20
Description
12/15
Adoption
15/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 6 days ago, so abridge-performance-tuning is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

abridge-performance-tuning compared with similar skills

All 4 of these similar skills score higher than abridge-performance-tuning; compare them before choosing.

SkillScoreStarsUpdatedFormat
abridge-performance-tuning (this skill)by jeremylongshore842.8k6d agoSKILL.md
Agent-Reachby Panniantong10086.3k14d agoCLAUDE.md
rufloby ruvnet10073.6ktodayCLAUDE.md
Scraplingby D4Vinci10084.6ktodayMCP Server
algorithmic-artby anthropics100177.9k7d agoSKILL.md

Frequently asked questions

How do I install abridge-performance-tuning?
Run npx skills add jeremylongshore/tons-of-skills-marketplace --skill abridge-performance-tuning. The install tabs above show the steps for each supported agent.
Which AI agents does abridge-performance-tuning work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is abridge-performance-tuning safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is abridge-performance-tuning still maintained?
The repository was last updated 6 days ago, so abridge-performance-tuning is actively maintained.

name: abridge-performance-tuning description: "Measure and improve Abridge workflow latency and friction using privacy-safe health-system evidence. Use when clinicians report slow capture, note readiness, review, or EHR handoff. Trigger with "measure Abridge performance"." argument-hint: "[cohort] [time-window] [workflow-stage]" allowed-tools: Read, Glob, Grep, WebFetch, Write, Edit version: 1.5.0 author: Jeremy Longshore jeremy@intentsolutions.io license: MIT tags:

  • saas
  • abridge
  • performance
  • workflow-metrics
  • clinical-operations model: inherit effort: high compatibility: Designed for Claude Code; live work requires an authorized Abridge tenant, approved test data, and health-system change authority

Abridge Clinical Workflow Performance Study

Overview

Measure the stages users experience instead of imposing invented API latency targets. Separate device and network conditions, capture duration, processing wait, review effort, and EHR handoff while protecting patient and clinician identity.

Prerequisites

  • The authorized Abridge environment, clinical owner, and health-system policy set
  • Current tenant-specific implementation evidence for every private interface in scope
  • Synthetic data or the organization's formally approved test-record procedure

Tool Discipline

Use Read, Glob, and Grep to inspect repository configuration, adapters, tests, policies, and existing evidence. Use WebFetch only for current official Abridge, HHS, or named EHR documentation. Use Write or Edit only after confirming scope, environment, owners, patient-data boundary, and approval state. These tools do not confer access to Abridge, an EHR, or a clinical record; return exact operator steps or an approval-gated handoff for live actions.

Current Contract

  • Official recording guidance identifies connectivity, microphone contention, device placement, and Bluetooth use as factors in capture quality and processing experience.
  • Abridge's Redraft support page documents a user-visible regeneration workflow, but one published timing is not a universal service-level objective.
  • Local baselines and signed service commitments control operational thresholds.

Authentication

Use only the health system's provisioned Abridge application access, SSO, administrative role, or tenant-specific partner authentication documented for the approved environment. Do not infer public API credentials, reuse production secrets in tests, or expose tokens and session material. Verify identity owner, least privilege, environment binding, storage, rotation, and revocation before any authenticated action.

Instructions

  1. Define the cohort, stage boundaries, clock source, sampling policy, privacy threshold, and approved service objectives.
  2. Use Read, Glob, and Grep to inspect instrumentation and dashboards for identifiers or note content that must be removed.
  3. Measure stage distributions and failure rates, not only averages; stratify by device, location, care setting, and workflow version when safe.
  4. Correlate slow paths with network and device conditions, review edits, downstream EHR behavior, and support events.
  5. Use WebFetch only for current official workflow guidance; never convert marketing or support examples into an SLA.
  6. Use Write or Edit to add bounded instrumentation or publish an experiment with rollback and success criteria.

Approval Boundaries

Do not capture audio, transcript, note text, patient identifiers, or individual productivity rankings in performance telemetry.

Output

Return stage definitions, percentile distributions, failure rates, cohort caveats, suspected boundary, experiment, rollback, and owner. Separate verified facts, tenant-specific evidence, assumptions, and actions still awaiting approval.

Error Handling

| Condition | Response | |---|---| | Stage clocks are incomparable | Repair instrumentation before drawing conclusions. | | Small cohort risks identification | Aggregate or extend the window. | | Optimization reduces review quality | Roll back immediately and notify the clinical owner. |

Example

The example is a redacted operational receipt, not patient data or proof of vendor certification.

stage=note-ready-to-reviewed; cohort=outpatient-aggregate; p50=local-baseline; p95=regressed; phi=none; experiment=network-path-check

Resources

Read the source map before changing a workflow. Recheck tenant-specific implementation evidence for every interface or capability that public documentation does not define.

Next Steps

Revalidate the evidence date and tenant-specific authority before repeating this workflow in another environment, cohort, care setting, or integration mode.

Related Skills

View on GitHub
GitHub Stars2.8k
CategoryAutomation
Updated6d ago
Forks404

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions