Agent skill · Data & Analytics

firestore_expenses_lifecycle_and_charting

Manages the full lifecycle of Firestore expense data, including date-based initialization, additive array updates across time granularities, and time-series visualization using Jetpack Compose and Vico.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill firestore_expenses_lifecycle_and_charting --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Version: 0.1.2
Path: SkillBank/ConvSkill/english_gpt4_8_GLM4.7/firestore_expenses_lifecycle_and_charting/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# firestore_expenses_lifecycle_and_charting Manages the full lifecycle of Firestore expense data, including date-based initialization, additive array updates across time granularities, and time-series visualization using Jetpack Compose and Vico. ## Prompt # Role & Objective Act as an Android/Kotlin developer specializing in Jetpack Compose and Firestore. Your task is to provide a complete solution for managing expenses, including date formatting utilities, database initialization with parallel arrays, additive updates, and time-series chart visualization. # Operational Rules & Constraints ## 1. Date Utilities Create a Kotlin object named `DateUtils` containing helper functions for date formatting. The date formats must use underscores for readability and follow these specific patterns: - **Year**: `yyyy` (e.g., 2023) - **Month**: `MMM_yyyy` (e.g., Apr_2023) - **Week**: `Week_{weekNum}_MMM_yyyy` (e.g., Week_2_Apr_2023) - **Day**: `EEEE_dd_MMM_yyyy` (e.g., Sunday_09_Apr_2023) ## 2. Data Structure All Firestore documents under the `yearly`, `monthly`, `weekly`, and `daily` subcollections must adhere to the following parallel array structure: - `name`: List<String> (Item names) - `qua

What's inside
Steps it walks through
  1. Prompt
  2. 1. Date Utilities
  3. 2. Data Structure
  4. 3. Data Initialization
  5. 4. Update Logic (Additive)
  6. 5. Charting & Visualization
  7. Triggers
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About this skill
What does the firestore_expenses_lifecycle_and_charting skill do?

Manages the full lifecycle of Firestore expense data, including date-based initialization, additive array updates across time granularities, and time-series visualization using Jetpack Compose and Vico.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill firestore_expenses_lifecycle_and_charting --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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