Results for “structure”

Converts raw, unstructured sources into structured wiki pages with YAML frontmatter, Counter-Arguments sections, and bidirectional wikilinks, storing them in MemPalace.

Applies the ISO 27001 framework to identify, assess, and mitigate security risks in systems, processes, and data handling, providing structured analysis and recommendations.

Query a pre-indexed codebase via CLI to understand structure, find symbols, assess change impact, debug failures, and evaluate PR risk.

Guides a structured feature-development workflow: explore the codebase with subagents, draft a plan for approval, implement step by step, verify with parallel checks, and record conventions.

Imports external plan files into a GSD-structured project, detecting conflicts against existing roadmap, requirements, and locked decisions before writing a validated PLAN.md.

Captures ideas, tasks, or issues during a GSD session as structured todos for later work, enabling a thought-to-capture-to-continue flow without losing context.

Embody the voice and comedy methodology of Redd Foxx, applying his signature timing, blue material, and street wisdom to generate authentic, structured comedic responses.

Guides the creation, editing, and verification of agent skills using a test-driven development approach, with structured documentation and quality gates.

Organizes persistent company memory using a PARA-structured knowledge base with daily notes, atomic facts, and entity tracking for cross-session agent recall.

Structured framework for reviewing UI designs, evaluating visual hierarchy, consistency, accessibility, spacing, typography, and color usage, and providing actionable improvement recommendations.

Improve remote work effectiveness through structured daily practice, reflection, and frameworks for async communication, documentation, and self-management in distributed teams.

Analyzes AWS CloudFront distributions, including cache hit ratios, origin health, SSL certificate status, and invalidation history, producing structured reports.

Guides users through structured discovery to create a shared knowledge repository capturing company or team distinctiveness, with options to link or extend existing repositories.

Explains term sheet key terms, SAFE/convertible note structures, cap table dilution calculations, and negotiation red flags for startup fundraising.

Provides reference documentation and code patterns for Biopython, covering sequence handling, alignments, NCBI database access, BLAST, protein structures, phylogenetics, and other bioinformatics tasks.

Rebuild Knowledge Vault index.md from disk truth per capture-llm-wiki schema. Use when vault structure drifted or after bulk ingest of pursuit folders. Karpathy LLM wiki maintenance skill.

Code review skill — auto-scopes from git changes, reads DOJO.md for project conventions, and produces structured findings with priority levels. Supports quick single-pass review and deep 3-agent parallel audit.

M&A strategy for acquiring companies or being acquired. Due diligence, valuation, integration, and deal structure. Use when evaluating acquisitions, preparing for acquisition, M&A due diligence, integration planning, or deal negotiation.

Design spec with 98 rules for building CLI tools that AI agents can safely use. Covers structured JSON output, error handling, input contracts, safety guardrails, exit codes, and agent self-description.

Expert in designing effective prompts for LLM-powered applications. Masters prompt structure, context management, output formatting, and prompt evaluation. Use when: prompt engineering, system prompt, few-shot, chain of thought, prompt design.

Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting...

Use when designing, creating, or modifying database schemas, data structures, or data models. This skill provides standardized data modeling practices ensuring consistency, integrity, and maintainability across all data stores.

Run web, multi-source, or last-30-days research through AIsa. Use when: the user needs search, synthesis, competitor scans, or trend discovery. Supports research-ready outputs and structured retrieval.

Use this when the deliverable is a CLI tool, command suite, operator utility, or local developer tool and the team needs command structure, UX, config, packaging, and safety planning across languages.

Use when a Firebase app needs Firestore collection design, document shape, subcollection strategy, security rule implications, or query-aware data modeling. Trigger on requests to design Firestore data structures before implementation.

Generate a structured paper outline from review conclusions and experiment results. Use when user says "写大纲", "paper outline", "plan the paper", "论文规划", or wants to create a paper plan before writing.

Audit datasets for structure, missingness, labeling, suspicious values, duplicate identifiers, and documentation readiness. Use when a researcher asks for data QA, codebook review, sanity checks, or pre-analysis cleanup guidance.

Guides a structured founder interview to capture company context across 7 dimensions, generating a persistent context file used by C-suite advisor skills.

Guides completion of development work by verifying tests, detecting the environment, and presenting structured options for merging, creating a PR, or discarding changes.

Investigate a failing GitHub Actions job, extract the root cause, and file a well-structured bug issue against NVIDIA/Megatron-LM.

Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md.

Rates an agent's own output on five axes — accuracy, completeness, clarity, actionability, conciseness — producing a structured scorecard with evidence and improvement suggestions.

Runs a structured clarifying interview for new project requests before building, then outputs a fully specified prompt.md for a fresh agent session to execute.

Capture conversations and decisions into structured Notion pages for easy reuse as wiki entries, how-tos, decisions, or FAQs with proper linking.

Build, configure, scaffold, and deploy OCI Functions from a local machine using a dependency-first, Fn-context-guided flow with structured confirmations.

Creates and maintains a personal context portfolio of structured markdown files describing identity, role, team, tools, communication style, and preferences.