ReddRadar
Topic: prompt-engineering
2,538 skills in this topic.
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using-lsp-tools
Use when mcp-language-server tools are available and you need semantic code intelligence. Triggers: 'find definition', 'find references', 'who calls this', 'rename symbol', 'type hierarchy', 'go to definition', 'where is this used', 'where is this defined', 'what type is this'. Provides navigation, refactoring, and type analysis via LSP.
axiomantic/spellbook 5
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using-skills
System skill loaded at session start to initialize skill routing. Not invoked directly by users. Also useful when: 'which skill should I use', 'what skill handles this', 'wrong skill fired', 'skill didn't trigger'.
axiomantic/spellbook 5
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verifying-hunches
Use when about to claim discovery during debugging. Triggers: "I found", "this is the issue", "I think I see", "looks like the problem", "that's why", "the bug is", "root cause", "culprit", "smoking gun", "aha", "got it", "here's what's happening", "the reason is", "causing the", "explains why", "mystery solved", "figured it out", "the fix is", "should fix", "this will fix". Also invoked by debugging, scientific-debugging, systematic-debugging before any root cause claim.
axiomantic/spellbook 5
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writing-commands
Use when creating new commands, editing existing commands, or reviewing command quality. Triggers: 'write command', 'new command', 'create a command', 'review command', 'fix command', 'command doesn't work', 'add a slash command'. NOT for: skill creation (use writing-skills).
axiomantic/spellbook 5
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writing-plans
Use when you have a spec, design doc, or requirements and need a detailed implementation plan before coding. Triggers: 'write a plan', 'create implementation plan', 'plan this out', 'break this down into steps', 'convert design to tasks', 'implementation order'. Also invoked by develop during planning. NOT for: reviewing existing plans (use reviewing-impl-plans).
axiomantic/spellbook 5
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writing-skills
Use when creating new skills, editing existing skills, or verifying skills work before deployment. Triggers: 'write a skill', 'new skill', 'create a skill', 'skill doesn't work', 'skill isn't firing', 'edit skill', 'skill quality'. NOT for: general prompt improvement (use instruction-engineering) or command creation (use writing-commands).
axiomantic/spellbook 5
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documentation-updates
Use after modifying library skills, library commands, or agents to ensure CHANGELOG, README, and docs are updated
axiomantic/spellbook 5
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spellbook-auditing
Meta-audit skill for spellbook development. Spawns parallel subagents to factcheck docs, optimize instructions, find token savings, and identify MCP candidates. Produces actionable report.
axiomantic/spellbook 5
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project-encyclopedia
[DEPRECATED] Use project-level AGENTS.md files instead. Previously used for first-session codebase onboarding and persistent glossary creation.
axiomantic/spellbook 5
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reviewing-impl-plans
Use when reviewing implementation plans before execution. Triggers: 'is this plan solid', 'review the plan', 'check before I start building', 'anything missing from this plan', 'will this plan work', 'audit the implementation plan'. NOT for: reviewing design documents (use reviewing-design-docs) or creating plans (use writing-plans).
axiomantic/spellbook 5
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jta
Translate JSON i18n files to multiple languages with AI-powered quality optimization. Use when user mentions translating JSON, i18n files, internationalization, locale files, or needs to convert language files to other languages.
ckanner/agent-skills 21
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prompt-optimizer
This skill should be used when users request help optimizing, improving, or refining their prompts or instructions for AI models. Use this skill when users provide vague, unclear, or poorly structured prompts and need assistance transforming them into clear, effective, and well-structured instructions that AI models can better understand and execute. This skill applies comprehensive prompt engineering best practices to enhance prompt quality, clarity, and effectiveness.
ckanner/agent-skills 21
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automate-this
Analyze a screen recording of a manual process and produce targeted, working automation scripts. Extracts frames and audio narration from video files, reconstructs the step-by-step workflow, and proposes automation at multiple complexity levels using tools already installed on the user machine.
github/awesome-copilot 27,659
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suggest-awesome-github-copilot-agents
Suggest relevant GitHub Copilot Custom Agents files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing custom agents in this repository, and identifying outdated agents that need updates.
github/awesome-copilot 27,659
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suggest-awesome-github-copilot-instructions
Suggest relevant GitHub Copilot instruction files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing instructions in this repository, and identifying outdated instructions that need updates.
github/awesome-copilot 27,659
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suggest-awesome-github-copilot-skills
Suggest relevant GitHub Copilot skills from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing skills in this repository, and identifying outdated skills that need updates.
github/awesome-copilot 27,659
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az-cost-optimize
Analyze Azure resources used in the app (IaC files and/or resources in a target rg) and optimize costs - creating GitHub issues for identified optimizations.
github/awesome-copilot 27,659
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azure-pricing
Fetches real-time Azure retail pricing using the Azure Retail Prices API (prices.azure.com) and estimates Copilot Studio agent credit consumption. Use when the user asks about the cost of any Azure service, wants to compare SKU prices, needs pricing data for a cost estimate, mentions Azure pricing, Azure costs, Azure billing, or asks about Copilot Studio pricing, Copilot Credits, or agent usage estimation. Covers compute, storage, networking, databases, AI, Copilot Studio, and all other Azure service families.
github/awesome-copilot 27,659
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azure-resource-health-diagnose
Analyze Azure resource health, diagnose issues from logs and telemetry, and create a remediation plan for identified problems.
github/awesome-copilot 27,659
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import-infrastructure-as-code
Import existing Azure resources into Terraform using Azure CLI discovery and Azure Verified Modules (AVM). Use when asked to reverse-engineer live Azure infrastructure, generate Infrastructure as Code from existing subscriptions/resource groups/resource IDs, map dependencies, derive exact import addresses from downloaded module source, prevent configuration drift, and produce AVM-based Terraform files ready for validation and planning across any Azure resource type.
github/awesome-copilot 27,659
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remember-interactive-programming
A micro-prompt that reminds the agent that it is an interactive programmer. Works great in Clojure when Copilot has access to the REPL (probably via Backseat Driver). Will work with any system that has a live REPL that the agent can use. Adapt the prompt with any specific reminders in your workflow and/or workspace.
github/awesome-copilot 27,659
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context-map
Generate a map of all files relevant to a task before making changes
github/awesome-copilot 27,659
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refactor-plan
Plan a multi-file refactor with proper sequencing and rollback steps
github/awesome-copilot 27,659
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what-context-needed
Ask Copilot what files it needs to see before answering a question
github/awesome-copilot 27,659