搜索「Self Improving」的结果

io.github.nexu-io/open-design/webgl-aurora-veil

A self-contained WebGL2 hero: layered aurora light curtains warped over a night sky scattered with stars; move the cursor to sway the veil.

io.github.nexu-io/open-design/live-dashboard

Notion-style team dashboard rendered as a Live Artifact. A single-page, self-contained HTML dashboard with KPIs, a 7-day sparkline, a real-time activity feed and a linked-database task table — wired to Notion via the Composio connector catalog. Refreshes on demand and when the artifact is opened. Falls back to seeded mock data when no connector is bound, so it works offline / in screenshots / in the picker preview.

io.github.nexu-io/open-design/open-design-homepage

A pixel-faithful, self-contained mirror of the live open-design.ai homepage — an interactive React Three Fiber / Next.js hero with a real-time 3D wordmark, sticker collage, variable fonts, and scroll-driven motion. First-party showcase of the visual ceiling for interactive web marketing surfaces.

io.github.openinterpreter/openinterpreter/openai-docs

Use for Codex models/pricing, scheduled tasks, skills, settings, setup, troubleshooting, customization, automations, and self-knowledge—including 'you,' 'your,' 'this app,' or 'this coding agent' when they refer to Codex—and for OpenAI APIs/products and ChatGPT Work. Also use for model choice/migration, prompting, SDKs, Responses, Realtime, agents, evals, and Chat/Work/Codex comparisons. Do not use for generic app/software tasks that merely mention Codex.

io.github.mem0ai/mem0/mem0-integrate

Integrate Mem0 into an existing repository using a goal-driven, TDD pipeline. Detects the repo's language automatically and asks the user to pick between Mem0 Platform (managed) and Mem0 Open Source (self-hosted). Writes failing tests before any implementation. Produces a local feature branch plus `.mem0-integration/` artifacts consumed by the paired verification skill. TRIGGER when: user says "integrate mem0", "add mem0 to this repo", "wire mem0 into <repo>", or asks how to add memory to an existing project. DO NOT TRIGGER when: the user wants general SDK usage (use skill:mem0), CLI usage (use skill:mem0-cli), or Vercel AI SDK (use skill:mem0-vercel-ai-sdk). After success, invoke skill:mem0-test-integration to verify in the same workspace (loose coupling).

io.github.supabase/supabase/review-the-docs

Review Supabase docs changes locally in ~/GitHub/supabase/supabase — either an open PR (triage, classify, verify) or your own branch before opening a PR (local self-review). Covers markdown pipeline, MDX content, tutorials, examples, Studio links, and docs tooling. Use when asked to review docs PRs, self-review a draft branch, check who has approved, verify build output, or evaluate supabase/supabase documentation changes.

io.github.affaan-m/ECC/continuous-agent-loop

Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls. Use when running an agent loop that must self-check, gate on evals, and recover from failures.

io.github.affaan-m/ECC/agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

io.github.affaan-m/ECC/agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

io.github.affaan-m/ECC/ito-inference

Inspect the availability of model serving on a completed Itô compute booking and, when the canonical backend becomes available, hand off an explicitly confirmed serving manifest. Use after ito-compute has booked GPU nodes and the user asks for an OpenAI-compatible endpoint, ito-serve, hosted Kimi, or self-hosted open-weights inference. ECC implements no serving stack of its own.

io.github.github/awesome-copilot/geofeed-tuner

Use this skill whenever the user mentions IP geolocation feeds, RFC 8805, geofeeds, or wants help creating, tuning, validating, or publishing a self-published IP geolocation feed in CSV format. Intended user audience is a network operator, ISP, mobile carrier, cloud provider, hosting company, IXP, or satellite provider asking about IP geolocation accuracy, or geofeed authoring best practices. Helps create, refine, and improve CSV-format IP geolocation feeds with opinionated recommendations beyond RFC 8805 compliance. Do NOT use for private or internal IP address management — applies only to publicly routable IP addresses.

io.github.PostHog/posthog/optimizing-clickhouse-and-hogql-queries

Workflow for optimizing ClickHouse and HogQL queries. Use when a HogQL query, query runner, insight, or report is too slow; when a hand-written ClickHouse query (via `sync_execute` or in a migration) is too slow; when ClickHouse times out or hits memory limits; when investigating a slow `system.query_log` row; or when reviewing a proposed HogQL printer change for performance. Covers extracting the ClickHouse SQL, common smells (`FROM ... FINAL`, `JSONExtract` over properties, missing skip indexes, self-joins, CTE blow-up), measuring against a real cluster, and applying the fix at the right layer (printer, query runner, or migration). Does NOT cover Postgres / Django ORM / app-database queries; those need pganalyze and the Postgres section of `query-performance-optimization.md`.

io.github.CherryHQ/cherry-studio/claude-automation-recommender

Analyze a codebase and recommend Claude Code automations (hooks, subagents, skills, plugins, MCP servers). Use when user asks for automation recommendations, wants to optimize their Claude Code setup, mentions improving Claude Code workflows, asks how to first set up Claude Code for a project, or wants to know what Claude Code features they should use.

io.github.mukul975/Anthropic-Cybersecurity-Skills/building-patch-tuesday-response-process

Establish a repeatable operational process for triaging, testing, and deploying Microsoft Patch Tuesday security updates (Windows, Office, Exchange, SQL Server, Azure) via WSUS/SCCM within risk-based remediation SLAs, from advisory review through validation. Use when building or improving a monthly patch management workflow or prioritizing which CVEs to remediate first.

io.github.nexu-io/open-design/critique

Run a 5-dimension expert design review on any HTML artifact in the project — Philosophy / Visual hierarchy / Detail / Functionality / Innovation, each scored 0–10. Outputs a single self-contained HTML report with a radar chart, evidence-backed scores, and three lists: Keep / Fix / Quick-wins. Use when the brief asks for a "design review", "design critique", "5 维度评审", "design audit", or "what's wrong with my design".

io.github.nexu-io/open-design/live-dashboard

Notion-style team dashboard rendered as a Live Artifact. A single-page, self-contained HTML dashboard with KPIs, a 7-day sparkline, a real-time activity feed and a linked-database task table — wired to Notion via the Composio connector catalog. Refreshes on demand and when the artifact is opened. Falls back to seeded mock data when no connector is bound, so it works offline / in screenshots / in the picker preview.

io.github.mem0ai/mem0/mem0

Mem0 Platform SDK for adding persistent memory to AI applications. TRIGGER when: user mentions "mem0", "MemoryClient", "memory layer", "remember user preferences", "persistent context", "personalization", or needs to add long-term memory to chatbots, agents, or AI apps. Covers Python SDK (mem0ai), TypeScript SDK (mem0ai), and framework integrations (LangChain, CrewAI, OpenAI Agents SDK, Pipecat, LlamaIndex, AutoGen, LangGraph). Also covers the open-source self-hosted Memory class. This is the DEFAULT mem0 skill for ambiguous queries. DO NOT TRIGGER when: user asks about CLI commands, terminal usage, or shell scripts (use mem0-cli), or Vercel AI SDK / @mem0/vercel-ai-provider / createMem0 (use mem0-vercel-ai-sdk).

io.github.coreyhaines31/marketingskills/marketing-loops

When the user wants to set up a recurring, self-running marketing workflow — a repeatable loop an AI agent runs on a cadence (weekly, daily, on a trigger) rather than a one-off task. Also use when the user mentions 'marketing loop,' 'recurring marketing workflow,' 'automate my marketing,' 'marketing on autopilot,' 'weekly marketing review,' 'ad fatigue check,' 'content refresh loop,' 'churn watch,' 'ranking drop alert,' 'always-on marketing,' 'marketing automation workflow,' or 'run this every week.' Use this to pick, adapt, and schedule an ongoing marketing loop that orchestrates the other marketing skills. For one-off marketing ideas, see marketing-ideas. For the experimentation loop specifically, see ab-testing.

io.github.nexu-io/open-design/html-ppt-zhangzara-capsule

A year-end self-review for a product manager — the role, the outcomes, the learning, and the ask, all evidence-backed. Built as a decision-grade career deck for manager, review committee.

io.github.apache/shardingsphere/review-pr

Used to review whether an Apache ShardingSphere PR truly fixes the root cause, assess side effects and regression risks, and judge code correctness or mergeability from public evidence. If not mergeable, produce committer-tone change requests or needs-discussion feedback when the PR direction, root-cause model, or problem framing should be reopened. Also use for GitHub-visible PR discussion, review comments, challenged findings, and copy-ready committer replies where review correctness, mergeability, change-request validity, or root-cause evidence is being judged. Supports full-coverage ledger review for high-risk or explicitly anti-drip requests, and self-iterates before final output.

io.github.ScriptedAlchemy/tracedecay/automation-run-review

Use when Review self-improvement automation runs and activation policy.

io.github.mem0ai/mem0/mem0-oss-to-platform

Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local `Memory` class) to the mem0 Platform / hosted / managed SDK (the `MemoryClient` class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g. "migrate my mem0 setup to the platform", "switch from self-hosted mem0 to MemoryClient", "use my mem0 API key instead of a local Qdrant", "move mem0 to the cloud/hosted/managed service", or "replace my local mem0 vector store + embedder config with the platform". Applies to Python (`from mem0 import Memory` → `from mem0 import MemoryClient`) and TypeScript/JavaScript (`import { Memory } from "mem0ai/oss"` → `import MemoryClient from "mem0ai"`). Trigger even when the user doesn't say the word "migrate" but clearly wants their existing mem0 integration to run against the hosted platform. It first produces a reviewable migration plan, then executes it after the developer approves. Strictly scoped to th

io.github.Stirling-Tools/Stirling-PDF/feature-walkthrough

Explain the full logic and process of the current branch end-to-end so someone with no prior knowledge of the task can understand, review, and reproduce it. Scopes the change from the branch diff, traces the flow across every layer it touches (frontend tool/hook/component, Java controller/service/endpoint, Python engine, config, i18n, tests), and produces a self-contained walkthrough document with Mermaid diagrams (sequence/flow/architecture), annotated file map with clickable references, before/after behavior, screenshots where a UI is involved, a "try it locally" section, and edge cases/risks. Use when asked for a feature or branch walkthrough, "explain what this branch does", a design/logic writeup, PR reviewer onboarding, or a hand-off doc. Pass --html to also emit a rendered HTML version; --no-screens to skip screenshots.

io.github.ChromeDevTools/devtools-frontend/devtools-ux-writing-refactor

Refactor user-facing UIStrings and localization comments in a DevTools module folder according to UX writing guidelines (child task of b/40799900). Use when simplifying wording, checking sentence case, or improving L10n comments in UIStrings for a specific folder or issue. Don’t use for general code changes or non-UIStrings files.