12,321 skills found · Page 263 of 411
GanyuanRan / long-task-continuationUse when a task is multi-step, may span context resets or sessions, uses subagents, or risks losing state before completion.
GanyuanRan / recording-architecture-decisionsUse when the user asks to create, write, update, amend, supersede, or evaluate an ADR, architecture decision record, durable architecture decision, decision log, or baseline sync after architecture-changing work.
GanyuanRan / subagent-driven-developmentUse when executing a written implementation plan with independent tasks in the current session where delegation beats inline coordination cost; otherwise inline. Ad-hoc 2+ tasks without a plan use dispatching-parallel-agents.
GanyuanRan / finishing-a-development-branchUse when verified work needs integration or cleanup of an existing task-created branch/worktree, or the user explicitly requests merge, PR, or branch lifecycle handling.
reticlehq / reticleInstall, instrument and verify this running web app from the inside (DOM, network, routing, console and framework state) instead of screenshots or guessing. Drives one real flow end to end and returns a verdict with the file:line to fix
reticlehq / install-and-verifyVerify that a web app change actually works by driving the running app from the inside (DOM, network, routing, console, framework state) instead of screenshots or guessing.
reticlehq / verify-cli-runProve that a command-line tool actually did what it said, instead of trusting its exit code and its output. Snapshots the filesystem before and after, names the expected consequence in advance, and returns one of four verdicts with what could not be seen.
reticlehq / verify-language-switchProve a language switch translates what the user sees, keeps what they had already typed, and is still in force after a reload
reticlehq / verify-unattendedInstall, instrument and verify a web app end to end without pausing for a human. Use in an autonomous or goal-mode agent, in CI, or in any client that asks for approval on every command: it never says "restart your client" or "open a browser", because it takes a route that needs neither.
reticlehq / verify-form-validationCheck that a form actually rejects bad input: the error message renders, the submit button stays disabled, and no request goes out
reticlehq / replay-user-flowsTurn a user journey you just clicked through into a saved regression check that re-runs deterministically, with no model in the loop and no test code to write
reticlehq / verify-keyboard-accessVerify that every interactive control on a page can take keyboard focus and that its primary action fires from the keyboard rather than only the mouse, and say plainly that Tab order cannot be verified today
reticlehq / agentic-tddTest-driven development for behaviour a unit test cannot reach, by writing the expectation against the running app before writing the code. Declare the consequence first, watch it fail, implement, watch it pass
reticlehq / audit-my-appSweep a whole running web app for what is broken, without writing a script or knowing the codebase. Clicks every reachable control and reports dead buttons, console errors, failed requests, and places where the API and the screen disagree.
reticlehq / drive-desktop-appDrive and verify an Electron or Tauri desktop app from the inside, including the main-process and Rust IPC calls a browser tool cannot see
reticlehq / test-error-statesForce the states a happy-path run never reaches (a failing API, an empty list, a slow request, a timeout, an expired session, a toast that auto-dismisses) and check the UI actually handles them
reticlehq / verify-login-logoutProve sign-in lands the user where they should be, sign-out really ends the session so a protected page sends them back to sign in, and an expired session asks to sign in again instead of breaking
reticlehq / verify-optimistic-updateProve a UI that updates before the server answers puts things back and says so when the request fails, and keeps the change when it succeeds
reticlehq / verify-paginationProve the next page of a list, or the next batch of an infinite scroll, loads NEW rows from the server, repeats none, and that the end of the list is handled
reticlehq / debug-broken-uiFind out why something in a running web app does not work, when the console is empty and the code looks correct. Reads the click, the request, the store and the console together and returns the file:line to open
reticlehq / design-system-complianceCheck that the UI you actually rendered uses the design system, by reading computed styles in the running app against the project's design tokens. Catches hardcoded hex colors, off-palette backgrounds, invisible or unusable controls, and animations that never ran.
reticlehq / fix-what-i-pointed-atPick up the bugs a human flagged by pointing at them in the running app, each arriving with the element, the note they typed, and the source file and line
reticlehq / verify-ui-changeCheck that a change to a web app actually works in the running app before calling it done. Drives the real page and returns a pass/fail verdict with the request that fired, the state that moved, and the file:line to fix.
reticlehq / false-green-testsFind out why the tests pass but the app is broken. Catches false greens: a green suite over a feature that does not work, a mocked API standing in for a real one, an assertion that holds no matter what the app does, a click handler wired to nothing
ai-evals-course / validate-evaluatorCalibrate an LLM judge against human labels using data splits, TPR/TNR, and bias correction. Use after writing a judge prompt (write-judge-prompt) when you need to verify alignment before trusting its outputs.
ai-evals-course / evaluate-ragGuides evaluation of RAG pipeline retrieval and generation quality
ai-evals-course / write-judge-promptDesign LLM-as-Judge evaluators for subjective criteria that code-based checks cannot handle
ai-evals-course / error-discoveryRun error analysis on a dataset. Build a review UI, select diverse samples, monitor annotations, and organize failure modes.
ai-evals-course / generate-synthetic-dataCreate diverse synthetic test inputs for LLM pipeline evaluation using dimension-based tuple generation
ai-evals-course / build-review-interfaceBuild a custom browser-based annotation interface tailored to your data for reviewing LLM traces and collecting structured feedback
