Systematic step-by-step reasoning with revision and branching. Use for complex problems, multi-stage analysis, design planning, problem decomposition, or encountering unclear scope, alternative approaches needed, revision requirements.
npx skills add https://github.com/secondsky/claude-skills --skill sequential-thinking
Enables structured problem-solving through iterative reasoning with revision and branching capabilities.
Use mcp__reasoning__sequentialthinking when:
Don't use for: Simple queries, direct facts, or single-step tasks.
The MCP tool mcp__reasoning__sequentialthinking accepts these parameters:
thought (string): Current reasoning stepnextThoughtNeeded (boolean): Whether more reasoning is neededthoughtNumber (integer): Current step number (starts at 1)totalThoughts (integer): Estimated total steps neededisRevision (boolean): Indicates this revises previous thinkingrevisesThought (integer): Which thought number is being reconsideredbranchFromThought (integer): Thought number to branch frombranchId (string): Identifier for this reasoning branch1. Start with initial thought (thoughtNumber: 1)
2. For each step:
- Express current reasoning in `thought`
- Estimate remaining work via `totalThoughts` (adjust dynamically)
- Set `nextThoughtNeeded: true` to continue
3. When reaching conclusion, set `nextThoughtNeeded: false`
// First thought
{
thought: "Problem involves optimizing database queries. Need to identify bottlenecks first.",
thoughtNumber: 1,
totalThoughts: 5,
nextThoughtNeeded: true
}
// Second thought
{
thought: "Analyzing query patterns reveals N+1 problem in user fetches.",
thoughtNumber: 2,
totalThoughts: 6, // Adjusted scope
nextThoughtNeeded: true
}
// ... continue until done
When you realize an earlier conclusion was wrong:
{
thought: "Reconsidering thought #2: The N+1 problem isn't the main bottleneck - missing index is.",
thoughtNumber: 5,
totalThoughts: 8,
nextThoughtNeeded: true,
isRevision: true,
revisesThought: 2
}
When exploring alternative approaches:
{
thought: "Branch A: What if we solve this with caching instead of query optimization?",
thoughtNumber: 6,
totalThoughts: 10,
nextThoughtNeeded: true,
branchFromThought: 3,
branchId: "caching-approach"
}
totalThoughts, refine as you progressComprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
Comprehensive technology-agnostic prompt for analyzing and documenting project folder structures. Auto-detects project types (.NET, Java, React, Angular, Python, Node.js, Flutter), generates detailed blueprints with visualization options, naming conventions, file placement patterns, and extension templates for maintaining consistent code organization across diverse technology stacks.
Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.
Multi-agent workflow examples to work together on the OpenServ Platform. Covers agent discovery, multi-agent workspaces, task dependencies, and workflow orchestration using the Platform Client. Read reference.md for the full API reference. Read openserv-agent-sdk and openserv-client for building and running agents.
> Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable backup saved as FILE.original.md.
API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
Patterns for automating GitHub workflows with AI assistance, inspired by [Gemini CLI](https://github.com/google-gemini/gemini-cli) and modern DevOps practices.
Groups existing components into logical business domains to plan service-based architecture. Use when asking "which components belong together?", "group these into services", "organize by domain", "component-to-domain mapping", or planning service extraction from an existing codebase. Do NOT use for identifying new domains from scratch (use domain-analysis) or analyzing coupling (use coupling-analysis).
Take secondsky/sequential-thinking from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.