Coding standards, frameworks, refactoring, and code review (16.9K skills)
Gives AI agents persistent project memory for architecture, implementation patterns, and decisions. Supports saving, searching, and retrieving knowledge, automatically syncing it with project documentation, and viewing memory usage through a dashboard.
This skill is identified as development related, but the supplied text gives no concrete workflow or expected result. Its name suggests continuous learning, yet the material does not explain any learning behavior or how to use it.
Set up users, organizations, roles, and dataset sharing in cognee. The skill explains SDK and HTTP authentication, helps investigate permission errors or missing datasets, and clarifies how access settings separate each user’s stored data.
Manage cognee database migrations, from checking migration status and recovering blocked writes to creating schema or data updates. It also guides dataset backups, restores, and transfers using cognee’s portable COGX archive format.
Refactor state held in Redux or React Context by separating API data, URL settings, shared interface state, and local component state. Move each part to React Query, nuqs, Zustand, or React’s local state hooks.
Generate page and component folder structures with a command, keeping related files together by feature. Create tabbed page shells, starter tests, and README files, and register page routes within the supplied frontend structure.
Plan refactoring with dependency analysis, which shows how code parts rely on each other. Find candidates and unreferenced code, preview and apply renames, and compare the resulting impact with the original plan.
Explore an unfamiliar codebase using a graph of code relationships. Inspect its structure, find functions and classes, trace calls and imports, follow execution paths, and locate large functions for closer investigation.
Review code changes using a knowledge graph, a map of code relationships, to assess risk and affected behavior. Organize findings by severity, identify missing tests, suggest fixes, and provide a merge recommendation.
Build or refresh a knowledge graph, a map of code relationships used for code review. Choose a full rebuild or an incremental update, then report the operation's status and summary.
Review code changes against the previous commit and identify affected files and functions. Use dependency relationships to assess risk, check missing tests, and produce a focused report with issues and recommendations.
Review all changes in a pull request or branch against its base branch. Use a knowledge graph, a map of code relationships, to report affected files and functions, test coverage, API compatibility issues, and recommended actions.
Investigate bugs using a graph of code relationships. Find relevant functions, trace calls and execution paths, check recent changes, and assess what a proposed fix could affect before reading and changing the implementation.
Analyze large logs, test results, API responses, and files outside the conversation, then return focused findings. It guides agents to save, process, index, and search outputs while limiting how much raw data enters their working context.
Coordinate multiple agents to maintain context-mode, from sorting GitHub issues and reviewing pull requests to preparing releases and announcements. Workflows require reproduced bugs, source evidence, test-first changes, and checks across supported platforms.
Route codebase exploration, file analysis, and web research through context-mode tools in Antigravity CLI. Process large outputs outside the conversation and return focused findings, with indexed content available for later searches.
Manage Google Apps Script projects from the command line. Create projects, retrieve or update source files, inspect execution status, and fetch metrics such as execution counts and active users to review script activity.
Upload local script files to a Google Apps Script project by specifying its project ID and an optional source folder. The command supports script, HTML, and manifest files, and replaces all files in the destination project.
Guide an RxJS 7 project to RxJS Next by testing existing behavior, reviewing how subscriptions start and end, and validating small batches of changes. Record approved behavior choices, verification results, and unresolved blockers in migration reports.
Create skills that follow GBrain’s required structure, including workflow steps, expected output, and failure handling. Check for overlapping triggers, update the skill registry and routing guide, and verify the result with conformance tests.
Turn a feature into an agent skill or improve an existing one. Define purpose-specific quality criteria, review outputs with models from three providers, then add tests and check that user requests reach the intended skill.
Learn how to author a third-party gbrain skillpack through a reference example. It explains required files, ten validation criteria, tests, and evaluation coverage, helping authors understand what to check before packaging and publishing.
Improve an existing skill’s instructions using benchmark tasks that measure its output. Generate starter tasks, preview costs, and keep version history, with validation checks deciding whether proposed edits can replace the current instructions.
Turn incoming SMS, meeting events, and social mentions into cited pages in GBrain, a knowledge store. The workflow extracts people and other entities, updates timelines, sanitizes content, and preserves failed payloads for retry.