outfinityresearch
14 verified skills
docx-lite
Use for lightweight document drafting when a plain-text template is sufficient. Trigger when the user wants a structured memo or report without needing actual .docx output.
testing
tests/recursiveAgent/recursiveAgentFixtures/skills/llmSuite/llmReporter
# LLM Reporter Provides natural language status updates once data has been collected.
testing
xlsx-lite
Use for simple spreadsheet-like tasks that can be handled as CSV or TSV without external libraries. Trigger when the user wants basic totals, column edits, or formatting-free tabular output.
development
tests/recursiveAgent/adHocSingleFixtures/skills/onlySuite/singleSkill
# Solo Skill A standalone skill for testing single-skill fallback. ## Instructions Process the given input and return a result. ## Input Format - input: The data to process
development
tests/recursiveAgent/adHocFixtures/skills/analysisSuite/summarizer
# Text Summarizer Summarizes long text into concise bullet points. ## Instructions Given a block of text, produce a short summary highlighting the key points. ## Input Format - text: The text to summarize
development
tests/recursiveAgent/adHocFixtures/skills/toolSuite/data-validator
# Data Validator Validates structured data against business rules and returns validation results. ## Instructions Given JSON data, validate each record against these rules: - All required fields must be present and non-empty - Quantity values must be non-negative integers - Amount values must be positive numbers - Email fields must contain an @ symbol - Status fields must be one of: active, inactive, pending, archived Return a JSON object with: - `valid`: boolean indicating if all records pa
tools
tests/recursiveAgent/adHocFixtures/skills/toolSuite/format-converter
# Format Converter Converts data between formats: JSON, CSV, markdown table, or plain text summary. ## Instructions Given data and a target format, convert the data accordingly. Supported conversions: - JSON to CSV: output comma-separated values with a header row - JSON to markdown: output a markdown table with | delimiters - JSON to text: output a plain-text summary of each record - CSV to JSON: parse CSV and output a JSON array of objects Always clearly label the output format. For CSV, s
tools
tests/recursiveAgent/recursiveAgentFixtures/skills/orchestrationSuite/report
# Logistics Report Produces a concise warehouse operations report summarising key metrics. Use this skill when the user requests a narrative summary or status update.
testing
tests/recursiveAgent/adHocFixtures/skills/toolSuite/report-generator
# Report Generator Generates human-readable reports from any input data or analysis. ## Instructions Given input (analysis results, data, or a description), produce a formatted report. The report MUST include: 1. A title line starting with "# Report:" 2. A summary section with key findings 3. A metrics section with numbers formatted for readability 4. A conclusion with actionable recommendations Always produce a complete report. Never refuse. Work with whatever input is provided. Return the
tools
tests/recursiveAgent/adHocFixtures/skills/toolSuite/data-fetcher
# Data Fetcher Generates realistic structured data based on the request. Returns JSON data. ## Instructions You are a data generation tool. When given a data request, generate and return realistic sample data as a JSON object. Always include a `source` field and a `records` array with 3-5 records. For inventory requests, return records with fields: id, name, quantity, status (active/inactive/pending). For user requests, return records with fields: id, name, email, role. For sales requests, r
tools
tests/recursiveAgent/adHocFixtures/skills/analysisSuite/classifier
# Topic Classifier Classifies text into predefined categories. ## Instructions Given a block of text, classify it into one of the following categories: technology, science, business, health, other. ## Input Format - text: The text to classify
development
tests/recursiveAgent/adHocFixtures/skills/toolSuite/data-analyzer
# Data Analyzer Analyzes data and produces statistical summaries with metrics. ## Instructions Given data (JSON, text, or a description of data), analyze it and return a JSON object with: - `totalRecords`: count of records or data points - `summary`: a brief text description of the key findings - `metrics`: an object with computed metrics (averages, totals, distributions) If the data contains quantity fields, compute total and average quantity. If the data contains amount fields, compute tot
tools
pdf-lite
Use for simple text-based PDF checks when the PDF content is provided as plain text. Trigger for lightweight compliance checks or section validation without external PDF libraries.
testing
pptx-lite
Use for quick slide outlines when a plain-text deck plan is sufficient. Trigger when the user wants a slide structure without needing a real .pptx file.
testing