Sequential Thinking
CheckedThis skill enables AI to break down complex problems into a series of logical steps, improving reasoning and solution generation.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add binhmuc/autobot-review --skill sequential-thinking -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
binhmuc
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned binhmuc/autobot-review at a2b4913a35.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- a2b4913a35
- Scanned
- 13 files, 1,527 lines
About this skill
What it does
This skill enables AI agents to process information and tasks in a structured, step-by-step manner. It allows for breaking down complex problems into smaller, manageable chunks, improving accuracy and reducing errors that can arise from attempting to handle everything at once. The agent can maintain context across these sequential steps, ensuring logical progression towards the desired outcome.
When to use it
- Complex problem solving: When a task requires multiple stages or considerations (e.g., planning a multi-day trip with various constraints).
- Data analysis and reporting: To systematically analyze data sets and generate reports that require sequential processing of information.
- Creative writing/storytelling: For generating narratives where events must unfold in a specific order to maintain coherence.
- Debugging code: To step through code execution, identifying errors by examining the state at each stage.
Key capabilities
- Sequential processing
- Context maintenance across steps
- Task decomposition
- Logical progression
Example prompts
- "Plan a week-long trip to Italy, considering budget and desired activities."
- "Analyze this sales data and provide a report highlighting trends over the last quarter."
- "Write a short story about a detective solving a mystery, ensuring events happen in chronological order."
Tips & gotchas
The skill’s effectiveness depends on clearly defining the sequential steps needed for a task. Ambiguous or poorly defined tasks can lead to unexpected results; break down complex requests into smaller, more manageable sub-tasks.