Prompting & Reasoning

Prompt engineering, personas, and reasoning patterns

270 skills available

Skills List

skill-optimizer

skill-optimizer

1.9Kprompting-reasoning

Optimizes AI skills for activation, clarity, and cross-model reliability. Use when creating or editing skill packs, diagnosing weak skill uptake, reducing regressions, tuning instruction salience, improving examples, shrinking context cost, or setting benchmark/release gates for skills. Trigger terms: skill optimization, activation gap, benchmark skill, with/without skill delta, regression, context budget, prompt salience.

mcollina avatarmcollina
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omp-delegate

omp-delegate

1.9Kprompting-reasoning

Delegate a coding task to Oh My Pi (`omp`) as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to delegate implementation work to Oh My Pi / omp - phrasings like "have omp implement X", "delegate this to oh my pi", "run it through omp", "use oh-my-pi to implement/fix/refactor" - or wants to run a queue of coding tasks through omp while staying the reviewer. DO NOT USE for tasks small enough to do inline, when the user wants the code written directly without delegating, or when they mean the original Pi CLI (`pi`) — that is pi-delegate.

amelnagdy avataramelnagdy
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reset

reset

1.7Kprompting-reasoning

Reset the FPF reasoning cycle to start fresh

neolabhq avatarneolabhq
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create-agent

create-agent

1.7Kprompting-reasoning

Comprehensive guide for creating Claude Code agents with proper structure, triggering conditions, system prompts, and validation - combines official Anthropic best practices with proven patterns

neolabhq avatarneolabhq
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test-prompt

test-prompt

1.7Kprompting-reasoning

Use when creating or editing any prompt (commands, hooks, skills, subagent instructions) to verify it produces desired behavior - applies RED-GREEN-REFACTOR cycle to prompt engineering using subagents for isolated testing

neolabhq avatarneolabhq
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agent-evaluation

agent-evaluation

1.7Kprompting-reasoning

Evaluate and improve Claude Code commands, skills, and agents. Use when testing prompt effectiveness, validating context engineering choices, or measuring improvement quality.

neolabhq avatarneolabhq
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unlazy

unlazy

1.7Kprompting-reasoning

Enforces completion discipline for substantial autonomous work by writing acceptance gates before execution, decomposing work with the Depth Tree, running approved checks, and re-verifying evidence before reporting. Use when Codex faces a long or multi-part task, work that has returned half-done, an exhaustive audit or build, parallel leaves or pipelines, or explicit triggers such as /unlazy, $unlazy, "tree N", "gates", and "do not stop until it is done".

leonxlnx avatarleonxlnx
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implement-task

implement-task

1.7Kprompting-reasoning

Implement a task step by step with automated LLM-as-Judge verification at the end of each phase

neolabhq avatarneolabhq
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shuorenhua

shuorenhua

1.7Kprompting-reasoning

按用户要求审稿或去 AI 味,支持中英文;保留事实、术语与责任主体,支持只标问题。

mrgediao avatarmrgediao
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brainstorm

brainstorm

1.7Kprompting-reasoning

Use when creating or developing, before writing code or implementation plans - refines rough ideas into fully-formed designs through collaborative questioning, alternative exploration, and incremental validation. Don't use during clear 'mechanical' processes

neolabhq avatarneolabhq
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mantis-structural-index

mantis-structural-index

1.5Kprompting-reasoning

Builds a content-addressed semantic-unit index from source code for structural context. Use when a pinned or live codebase is available and structural cross-reference data would improve research quality. Don't use for findings analysis, patching, or reporting.

google avatargoogle
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thought-based-reasoning

thought-based-reasoning

1.5Kprompting-reasoning

Use when tackling complex reasoning tasks requiring step-by-step logic, multi-step arithmetic, commonsense reasoning, symbolic manipulation, or problems where simple prompting fails - provides comprehensive guide to Chain-of-Thought and related prompting techniques (Zero-shot CoT, Self-Consistency, Tree of Thoughts, Least-to-Most, ReAct, PAL, Reflexion) with templates, decision matrices, and research-backed patterns

neolabhq avatarneolabhq
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mantis-summarize

mantis-summarize

1.5Kprompting-reasoning

Pre-processes the repository by generating security-focused summaries (mantis-summary.md) for each directory to make planning and research more efficient. Use when starting a review campaign to map the codebase before threat modeling and planning. Don't use for executing code reviews, writing test scripts, or patching code.

google avatargoogle
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mantis-review

mantis-review

1.5Kprompting-reasoning

Independently reviews findings and filters out false positives. Use when consolidated findings need validation against the actual source code. Don't use for reproducing crashes or patching code.

google avatargoogle
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mantis-critic

mantis-critic

1.5Kprompting-reasoning

Assesses the production viability of findings, filtering out debug-only features and assertion traps. Use when findings have been validated and you need to confirm they are triggerable in production release builds (with assertions disabled). Don't use for writing reproduction scripts or patches.

google avatargoogle
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mantis-report

mantis-report

1.5Kprompting-reasoning

Generates a human-readable security review packet compiled from confirmed findings and exploit chains. Use at the end of a review cycle to produce stakeholder-facing documentation. Don't use for auditing code or verifying patches directly.

google avatargoogle
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mantis-patch

mantis-patch

1.5Kprompting-reasoning

Generates minimal security fixes using transactional isolation (shadow directories or file backups), applies patches, and verifies them. Use when security findings are successfully reproduced and need patches applied and verified. Don't use for initial vulnerability research or reproduction payload generation.

google avatargoogle
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prompt-engineering

prompt-engineering

1.5Kprompting-reasoning

Use this skill when you writing commands, hooks, skills for Agent, or prompts for sub agents or any other LLM interaction, including optimizing prompts, improving LLM outputs, or designing production prompt templates.

neolabhq avatarneolabhq
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m07-concurrency

m07-concurrency

1.4Kprompting-reasoning

CRITICAL: Use for concurrency/async. Triggers: E0277 Send Sync, cannot be sent between threads, thread, spawn, channel, mpsc, Mutex, RwLock, Atomic, async, await, Future, tokio, deadlock, race condition, 并发, 线程, 异步, 死锁

actionbook avataractionbook
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m01-ownership

m01-ownership

1.4Kprompting-reasoning

CRITICAL: Use for ownership/borrow/lifetime issues. Triggers: E0382, E0597, E0506, E0507, E0515, E0716, E0106, value moved, borrowed value does not live long enough, cannot move out of, use of moved value, ownership, borrow, lifetime, 'a, 'static, move, clone, Copy, 所有权, 借用, 生命周期

actionbook avataractionbook
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m04-zero-cost

m04-zero-cost

1.4Kprompting-reasoning

CRITICAL: Use for generics, traits, zero-cost abstraction. Triggers: E0277, E0308, E0599, generic, trait, impl, dyn, where, monomorphization, static dispatch, dynamic dispatch, impl Trait, trait bound not satisfied, 泛型, 特征, 零成本抽象, 单态化

actionbook avataractionbook
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m02-resource

m02-resource

1.4Kprompting-reasoning

CRITICAL: Use for smart pointers and resource management. Triggers: Box, Rc, Arc, Weak, RefCell, Cell, smart pointer, heap allocation, reference counting, RAII, Drop, should I use Box or Rc, when to use Arc vs Rc, 智能指针, 引用计数, 堆分配

actionbook avataractionbook
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m05-type-driven

m05-type-driven

1.4Kprompting-reasoning

CRITICAL: Use for type-driven design. Triggers: type state, PhantomData, newtype, marker trait, builder pattern, make invalid states unrepresentable, compile-time validation, sealed trait, ZST, 类型状态, 新类型模式, 类型驱动设计

actionbook avataractionbook
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m03-mutability

m03-mutability

1.4Kprompting-reasoning

CRITICAL: Use for mutability issues. Triggers: E0596, E0499, E0502, cannot borrow as mutable, already borrowed as immutable, mut, &mut, interior mutability, Cell, RefCell, Mutex, RwLock, 可变性, 内部可变性, 借用冲突

actionbook avataractionbook
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