reasoning-abductive
Generate and evaluate explanatory hypotheses from incomplete observations. Use when diagnosing anomalies, explaining unexpected outcomes, or inferring causes from effects. Produces ranked hypotheses with eviden...
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Generate and evaluate explanatory hypotheses from incomplete observations. Use when diagnosing anomalies, explaining unexpected outcomes, or inferring causes from effects. Produces ranked hypotheses with eviden...
Use when the user asks to describe, summarize, analyze, compare, explain, or report on something (text, data, events, systems) without asking for recommendations or next steps.
Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.
Evaluate alternative scenarios by simulating interventions on past decisions or hypothetical futures. Use when assessing decisions in hindsight, planning scenarios, or comparing paths not taken. Produces compar...
Extract patterns and generalizations from multiple observations. Use when detecting recurring themes, building predictive rules, or identifying systemic behaviors from accumulated data. Produces validated patte...
Plans technical projects with risk-first development, milestone structuring, and managed deferral. Use when planning software projects, defining milestones, structuring development phases, or breaking down comp...
Use when the user asks for a roadmap, timeline, phased plan, or execution sequence.
Market analysis and competitive intelligence for startups. Use when analyzing market opportunities, sizing TAM, profiling segments, or mapping competition.
Address code review feedback by evaluating validity and fixing issues — supports local agent feedback and GitHub PR threads. Triggers: "fix the review feedback", "address PR comments".
Write a technical article about a ShiftingCodes pass or related topic
Implement a new JavaScript native/builtin function (e.g. Array.from, String.prototype.trim, Math.abs).
Transition from manual code syntax writing to high-level intent specification. Use this when building software with AI-native tools (like Cursor), managing AI-generated codebases, or shifting an engineering tea...
A workflow for collaborating with AI coding agents (like Codex) on complex, multi-step software tasks. Use this when porting features between platforms, building rapid prototypes ("vibe coding"), or resolving "...
自动检测和修复Godot 3.x与4.x之间的API兼容性问题,基于实际项目经验提供针对性解决方案
Skill template with Bun Shell pattern. Copy this folder to create new skills.
Executes containment strategies to stop active adversary operations and prevent lateral movement during a confirmed security breach. Implements short-term and long-term containment using network segmentation, e...
Automate credential rotation for service accounts across Active Directory, cloud platforms, and application databases to eliminate stale secrets and reduce compromise risk.
Use Sysinternals Autoruns to systematically identify and analyze malware persistence mechanisms across registry keys, scheduled tasks, services, drivers, and startup locations on Windows systems.
Script metadata and scriptlet bundle patterns for Script Kit. Use when writing scripts, test files, or scriptlet bundles. Covers global metadata, legacy comment-based metadata, and YAML frontmatter for bundles.
JSpecify nullness annotations for Java APIs and tooling. Use when adopting or migrating JSpecify annotations, designing null-safe Java signatures and generics, or interpreting tool conformance and Kotlin intero...
Create Excalidraw diagram JSON files that make visual arguments. Use when the user wants to visualize workflows, architectures, or concepts.
Maintain AILANG CLI help as single source of truth. Use when: adding new commands, adding environment variables, updating command behavior, auditing CLI documentation, ensuring help.go matches codebase implemen...
Use the inference.sh CLI commands. Use when running app commands, agent commands, deploying, pulling, or managing inference.sh apps via command line.
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Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.