| name | parse-linkedin |
|---|---|
| description | Parse a Fiddler Everywhere RAW export of LinkedIn (Voyager API) traffic into markdown lists of Posts, Reactions, Profiles, Messages, and Groups. Use when a LinkedIn capture into social/linkedin/ is dropped and wants it turned into readable lists. |
| user_invocable | true |
Captures LinkedIn web traffic in Fiddler Everywhere and exports the RAW capture into a dated folder under:
| naftiko: "1.0.0-alpha1" | |
| info: | |
| label: "API Change Discovery — Aggregate" | |
| description: "Unified capability for discovering current API details, potential API changes, and public API-impacting content across five enterprise tools: GitLab (branches, jobs), Jira (issues via JQL), Confluence (pages, spaces), Slack (message search, channel history), and Google Docs (document retrieval). A single governed surface for an AI agent to search all the places where API changes are discussed, tracked, documented, and announced." | |
| tags: | |
| - API Discovery | |
| - Change Management | |
| - GitLab | |
| - Jira |
| naftiko: "0.5" | |
| info: | |
| label: "Path & Parameter Normalizer" | |
| description: "Consumes three microservices that each use different naming conventions for paths and parameters — camelCase, snake_case, and PascalCase — and exposes a single HTTP adapter with normalized kebab-case paths and snake_case parameters." | |
| capability: | |
| exposes: | |
| - type: "http" | |
| namespace: "customers" | |
| baseUri: "http://localhost:8080" |
| { | |
| "id": "PRD-004821", | |
| "name": "Wireless Noise-Cancelling Headphones", | |
| "description": "Premium over-ear headphones with active noise cancellation, 30-hour battery life, and Bluetooth 5.3 connectivity.", | |
| "category": "electronics", | |
| "price": 149.99, | |
| "currency": "USD", | |
| "sku": "ELEC-WH-BLK-001", | |
| "inStock": true, | |
| "quantity": 234, |
| [ | |
| { | |
| "name": "Agentic Solutions", | |
| "ring": "Initial", | |
| "quadrant": "Concepts", | |
| "isNew": "FALSE", | |
| "description": "AI-powered autonomous agent platform for building and deploying intelligent automation solutions. It reduces manual effort and human error while increasing throughput and operational consistency." | |
| }, | |
| { | |
| "name": "Data Fabric", |
| [ | |
| { | |
| "name": "AI", | |
| "ring": "Optimizing", | |
| "quadrant": "Concepts", | |
| "isNew": "FALSE", | |
| "description": "A branch of computer science focused on creating systems capable of performing tasks that typically require human intelligence, such as learning, reasoning, problem-solving, perception, and language understanding. It is a foundational component in modern data architectures and enterprise data management practices." | |
| }, | |
| { | |
| "name": "Active Directory", |
| [ | |
| { | |
| "name": "AI", | |
| "ring": "Optimizing", | |
| "quadrant": "Concepts", | |
| "isNew": "FALSE", | |
| "description": "A branch of computer science focused on creating systems capable of performing tasks that typically require human intelligence, such as learning, reasoning, problem-solving, perception, and language understanding. It is a foundational component in modern data architectures and enterprise data management practices." | |
| }, | |
| { | |
| "name": "EDI", |
| [ | |
| { | |
| "name": "AI", | |
| "ring": "Established", | |
| "quadrant": "Concepts", | |
| "isNew": "TRUE", | |
| "description": "A branch of computer science focused on creating systems capable of performing tasks that typically require human intelligence, such as learning, reasoning, problem-solving, perception, and language understanding. It is a foundational component in modern data architectures and enterprise data management practices." | |
| }, | |
| { | |
| "name": "EDI", |
| [ | |
| { | |
| "name": "Path-to-production mapping", | |
| "ring": "Optimizing", | |
| "quadrant": "Concepts", | |
| "isNew": "TRUE", | |
| "description": "<p>Although <strong>path-to-production mapping</strong> has been a near-universal practice at Thoughtworks since codifying <em><a href=\"https://www.amazon.com/Continuous-Delivery-Deployment-Automation-Addison-Wesley/dp/0321601912\">Continuous Delivery</a></em>, we often come across organizations unfamiliar with the practice. The activity is most often done in a workshop with a cross-functional group of people — that includes everyone involved in designing, developing, releasing and operating the software — around a shared whiteboard (or virtual equivalent). First, the steps in the process are listed in order, from the developer workstation all the way to production. Then, a facilitated session is used to capture further information and pain points. The most common technique we see is based on <a href=\"https://en.wikipedia.org/wiki/Value-stream_mapping\">value-stream |
| [ | |
| { | |
| "name": "Path-to-production mapping", | |
| "ring": "Optimizing", | |
| "quadrant": "Concepts", | |
| "isNew": "TRUE", | |
| "description": "<p>Although <strong>path-to-production mapping</strong> has been a near-universal practice at Thoughtworks since codifying <em><a href=\"https://www.amazon.com/Continuous-Delivery-Deployment-Automation-Addison-Wesley/dp/0321601912\">Continuous Delivery</a></em>, we often come across organizations unfamiliar with the practice. The activity is most often done in a workshop with a cross-functional group of people — that includes everyone involved in designing, developing, releasing and operating the software — around a shared whiteboard (or virtual equivalent). First, the steps in the process are listed in order, from the developer workstation all the way to production. Then, a facilitated session is used to capture further information and pain points. The most common technique we see is based on <a href=\"https://en.wikipedia.org/wiki/Value-stream_mapping\">value-stream |