Best use case
formal-logic-reasoner is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Skill for formal logical reasoning and argument validation
Teams using formal-logic-reasoner should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/formal-logic-reasoner/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How formal-logic-reasoner Compares
| Feature / Agent | formal-logic-reasoner | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Skill for formal logical reasoning and argument validation
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Formal Logic Reasoner Skill ## Purpose Apply formal logic for argument validation, logical consistency checking, and deductive reasoning in scientific contexts. ## Capabilities - Formalize arguments - Check logical validity - Identify fallacies - Perform deductive reasoning - Validate proof structures - Generate logical conclusions ## Usage Guidelines 1. Parse argument structure 2. Formalize propositions 3. Apply inference rules 4. Check validity 5. Identify issues 6. Report conclusions ## Process Integration Works within scientific discovery workflows for: - Argument validation - Theory consistency checking - Logical analysis - Proof verification ## Configuration - Logic system selection - Formalization rules - Validation criteria - Output formatting ## Output Artifacts - Formalized arguments - Validity assessments - Fallacy reports - Logical analyses
Related Skills
formal-verification
Formal property verification and model checking skill for FPGA designs
scope-logic-analyzer
Test equipment integration for signal analysis (oscilloscope and logic analyzer)
theological-synthesis
Integrate scriptural, traditional, and rational sources to formulate coherent theological positions, addressing doctrinal questions within systematic frameworks
formal-logic-analysis
Apply propositional, predicate, and modal logic systems to formalize arguments, construct proofs, and evaluate validity using symbolic notation and truth tables
ipa-transcription-phonological
Transcribe speech using International Phonetic Alphabet and analyze sound systems including phonotactics and phonological rules
temporal-logic-translator
Translate between temporal logic formalisms and generate property specifications
hydrologic-modeling-engine
Hydrologic modeling skill for rainfall-runoff analysis, flood frequency, and watershed analysis
process-builder
Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.
babysitter
Orchestrate via @babysitter. Use this skill when asked to babysit a run, orchestrate a process or whenever it is called explicitly. (babysit, babysitter, orchestrate, orchestrate a run, workflow, etc.)
yolo
Run Babysitter autonomously with minimal manual interruption.
user-install
Install the user-level Babysitter Codex setup.
team-install
Install the team-pinned Babysitter Codex workspace setup.