Federico-Anastasi

14 mods across 1 repository, 2 stars between them.

data-model

01

Federico-Anastasi/DYLA-ai

Skill Claude CodeCodex

Analyses the brief, runs a short Q&A, and produces the validated data model (tables, relations, integrations) in datamodel.json. Updates context.md.

2 1mo ago A 36 tokens original MIT

deck

02

Federico-Anastasi/DYLA-ai

Skill Claude CodeCodex

Builds the project decks (kickoff, recurring status report, estimate presentation, demo) in deck.json. The data-driven slides are regenerated, the hand-written ones are preserved. Exports to PowerPoint and HTML.

2 1mo ago A 46 tokens original MIT

design

03

Federico-Anastasi/DYLA-ai

Skill Claude CodeCodex

Designs graphic artefacts (social posts, stories, banners) as free HTML/CSS artboards in design.json — one artboard per design at its exact pixel size. The craft is in the guidance: committed aesthetic, brand tokens, anti-slop rules. Exports to design.html with per-post PNG download.

2 1mo ago A 66 tokens original MIT

dev-tasks

04

Federico-Anastasi/DYLA-ai

Skill Claude CodeCodex

Breaks a confirmed estimate into granular dev tasks. Every estimate task becomes 1-3 assignable pieces of work, written inside estimate.json (epics[].tasks[].devtasks[]).

2 1mo ago A 42 tokens original MIT

diagram

05

Federico-Anastasi/DYLA-ai

Skill Claude CodeCodex

Produces the technical diagrams of the project (architecture, operational workflows, dataflows, sequences) in diagram.json. Uses the brief and the data model when available. Exports to a self-contained HTML.

2 1mo ago A 42 tokens original MIT

estimate

06

Federico-Anastasi/DYLA-ai

Skill Claude CodeCodex

Produces the work plan in days from the brief — epics, tasks, E2E test rows and contingency — in estimate.json. Uses the data model when one is available.

2 1mo ago A 38 tokens original MIT

meeting-notes

07

Federico-Anastasi/DYLA-ai

Skill Claude CodeCodex

Turns a meeting recording or transcript into minutes people actually read: who was there, what was decided, what is still open, and who owes what by when. Writes a markdown file in meetings/.

2 1mo ago A 43 tokens original MIT

meeting

08

Federico-Anastasi/DYLA-ai

Skill Claude CodeCodex

Merges a meeting transcript into the project brief: updates brief.json incrementally, extracts the questions still open, records decisions and people, and flags contradictions with earlier meetings.

2 1mo ago A 36 tokens original MIT

mockup

09

Federico-Anastasi/DYLA-ai

Skill Claude CodeCodex

Composes a component-based mockup (mockup.json) from the standard themed component library. Uses the data model when available to structure the views. The interactive HTML is generated by the backend on demand.

2 1mo ago A 44 tokens original MIT

pipeline

10

Federico-Anastasi/DYLA-ai

Skill Claude CodeCodex

Runs the whole estimation flow in one session: Q&A, data model, estimate, dev tasks, mockup. To produce a single deliverable, use the dedicated skills instead (/data-model, /estimate, /dev-tasks, /mockup).

2 1mo ago A 53 tokens original MIT

test-plan

11

Federico-Anastasi/DYLA-ai

Skill Claude CodeCodex

Builds the application test plan from the estimate, data model, mockup and brief. Produces testplan.json with cases traced to the estimate epics, exportable to Excel.

2 1mo ago A 40 tokens original MIT

ticket

12

Federico-Anastasi/DYLA-ai

Skill Claude CodeCodex

Triages a maintenance ticket on a delivered project: which area and epic are involved, which objects are likely affected, what the brief says should happen, and a first hypothesis. It does not fix anything — it points.

2 1mo ago A 46 tokens original MIT

DYLA-ai AGENTS.md

13

Federico-Anastasi/DYLA-ai

Instructions file CodexOpenCode

Instructions for Federico-Anastasi/DYLA-ai, covering dyla — instructions for the agent, what this is, where you are running, how you work here and one skill, one deliverable.

2 1mo ago A 2,557 tokens original MIT

DYLA-ai CLAUDE.md

14

Federico-Anastasi/DYLA-ai

Instructions file

Instructions for Federico-Anastasi/DYLA-ai, covering dyla — instructions for the agent, what this is, where you are running, how you work here and one skill, one deliverable.

2 1mo ago A 2,556 tokens copy · 92% MIT