Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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emblem-ai-agent-wallet
Connect to EmblemVault and manage wallet-aware workflows via EmblemAI with review-first, operator-controlled actions. Supports Solana, Ethereum, Base, BSC, Polygon, Hedera, and Bitcoin. Also use when the user needs Emblem's auth model explained: one browser auth flow can log a user in with wallets, email/password, or social sign-in, while agent mode can auto-provision a profile-scoped wallet with no manual setup.
EmblemCompany/Agent-skills 8
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emblem-ai
One-shot user management for apps, multi-chain wallet authentication, an AI-powered assistant, and AI app introspection. Use when the user wants to let website users sign in with wallets, email/password, or social login and give each user a wallet-enabled account, then embed EmblemAI chat surfaces, connect plugins, or add Reflexive observability. Provides React components, TypeScript SDKs, session-based authentication, and pointers to the React and agent-wallet skills for specialized workflows.
EmblemCompany/Agent-skills 8
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emblem-ai-prompt-examples
Curated prompt and usage examples for research, portfolio review, quote requests, approval-gated drafts, NFT discovery, prediction-market analysis, and assistant workflows. Emphasis is review-first, trust-boundary-aware use of external data, and explicit confirmation before any value-moving action. Use when the user wants example prompts, phrasing guidance, or sample requests for end-user EmblemAI tasks.
EmblemCompany/Agent-skills 8
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go-db-query
Skills for querying Gene Ontology annotation databases in DuckDB format. Use this for queries about GO annotations, genes, terms, evidence codes, or taxonomic relationships in GO-DB databases (db/*.ddb files). Particularly useful for hierarchical queries using closure tables to find genes annotated to terms and their descendants.
cmungall/go-db 1
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template-skill
Replace with description of the skill and when Droid should use it.
Factory-AI/skills 10
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code-review
Review code changes (diffs, PRs, patches) and provide structured, actionable feedback on correctness, maintainability, and test coverage. Use when the user asks for a code review, requests feedback on a patch/PR, or wants an assessment of changes.
Factory-AI/skills 10
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commit-security-scan
Analyze code changes for security vulnerabilities using LLM reasoning and threat model patterns. Use for PR reviews, pre-commit checks, or branch comparisons.
Factory-AI/skills 10
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security-review
Scan code changes for security vulnerabilities using STRIDE threat modeling, validate findings for exploitability, and output structured results for downstream patch generation. Supports PR review, scheduled scans, and full repository audits.
Factory-AI/skills 10
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threat-model-generation
Generate a STRIDE-based security threat model for a repository. Use when setting up security monitoring, after architecture changes, or for security audits.
Factory-AI/skills 10
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vulnerability-validation
Validate security findings from commit-security-scan by assessing exploitability, filtering false positives, and generating proof-of-concept exploits. Use after running commit-security-scan to confirm vulnerabilities.
Factory-AI/skills 10
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decomposition
This skill should be used when the user asks to "break down this initiative", "decompose into tasks", "create tasks from initiative", "how to size tasks", "when to decompose", "vertical slices", "task granularity", or needs guidance on breaking higher-level work into lower-level work items.
colliery-io/metis 8
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project-patterns
This skill should be used when the user asks to "start a new project", "greenfield project", "tech debt campaign", "incident response", "feature development", "which preset", "initialize metis", "set up project", or needs guidance on project setup, choosing presets, and applying patterns for different work types.
colliery-io/metis 8
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code-index
This skill should be used when the user asks to "create a code index", "index this codebase", "update the code index", "generate code index", "build code index", "refresh semantic summaries", or needs guidance on generating or updating the .metis/code-index.md file for AI agent codebase navigation.
colliery-io/metis 8
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phase-transitions
This skill should be used when the user asks "when to transition phases", "move to active", "exit criteria", "what phase comes next", "how to complete a task", "transition to completed", "mark as blocked", "phase flow", or needs guidance on advancing documents through their lifecycle phases.
colliery-io/metis 8
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document-selection
This skill should be used when the user asks "what document type should I create", "create a bug ticket", "create a feature request", "should this be a task or initiative", "when to use an ADR", "when to use a specification", "track this bug", "log this tech debt", "write a spec", or needs help choosing between vision, initiative, task, backlog item, ADR, or specification document types.
colliery-io/metis 8
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repo-clipboard
Snapshot the current directory into pseudo-XML for LLM context. Use when you need to share a repo (or a sub-tree) with Codex/LLMs, especially for code review/debugging, generating an agent-friendly “repo snapshot”, or piping context into tools like `llm` (see skill $llm-cli). Supports `.gitignore`-aware file discovery, common ignore patterns, extension filtering, regex include/exclude, optional file-list printing, line-range snippets, and writes `/tmp/repo_clipboard.{stdout,stderr}` for reuse.
santiago-afonso/repo_clipboard 1
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super-review
Use when user requests code review with multiple perspectives, wants parallel review from different models, or uses trigger words: super-review, 超级审查, 并行审查, 全面 review
zuozuo/super-review
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expert-review
Use when user wants multi-perspective expert review, role-playing review, or uses trigger words: expert-review, 专家审查, 多角色审查, 专家评审
zuozuo/super-review
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logic-flow
Explain a function's logic step-by-step by analyzing its implementation and call graph. Use when the user asks "how does this work", "walk me through this", or wants to understand control flow and decision points.
anortham/julie 3
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metrics
Show Julie operational metrics -- session stats, tool usage, context efficiency, and historical trends. Use when the user asks about Julie's performance, how it's doing, how much context was saved, or wants a metrics/stats report.
anortham/julie 3
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architecture
Generate an architecture overview — key entry points, module map, dependency flow, and suggested reading order. Use when the user is new to a codebase, asks "how does this work?", wants an architecture overview, or needs onboarding documentation.
anortham/julie 3
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dependency-graph
Show module dependencies by analyzing imports, exports, and cross-references. Use when the user asks what a file imports, what depends on a module, or wants to see dependency structure.
anortham/julie 3
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search-debug
Diagnose why a search returns unexpected results — analyze scoring factors, tokenization, and index health for dogfooding Julie's search quality. Use when a Julie search misses an expected symbol, returns wrong results, ranks something surprisingly low, or when investigating search quality issues during development.
anortham/julie 3
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impact-analysis
anortham/julie 3