Results for “feed”

Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.

Evidence-based investigation of issues, bugs, API calls, integrations, and other aspects of software development that need a deep dive to find the root cause and solutions. Use when you need to debug, troubleshoot, diagnose, or figure out why something is broken. Does not review code for quality or style — use code-review for auditing changes or post-code-review-to-pr for posting review feedback to GitHub. Does not assess architectural health or structural risk — use architectural-analysis for architectural concerns. Does not research open-ended options, prior art, or how something works when nothing is broken — use research for that. Does not capture feedback on Han's own skills — use han-feedback for that.

This skill should be used when the user asks to "reflect on skills from memory", "audit marketplace skills against memory", "从记忆中检查 skills 的问题", "反思并修改 skill", "apply memory feedback to skills", or wants to turn accumulated memory feedback about this marketplace's skills into concrete skill fixes. Reads the project's persistent memory, re-verifies each known skill problem against current code, then fixes the skill or corrects the stale memory.

Build custom PCB structures with pcbComponent, shapes, Boolean ops, feeds, and multi-layer stackups for non-catalog geometries. TRIGGER: user asks to build, modify, or customize a pcbComponent — add/remove shapes, edit polygons, place feeds, add metal layers, cut slots, or create non-catalog RF structures. Also when modifying geometry of an existing catalog-designed component (e.g., adding pads, removing elements, editing vertices). Invoke BEFORE writing pcbComponent code — layer/shape/feed API is non-obvious. SKIP: designing catalog components like filters/couplers/txlines (use the specific matlab-design-pcb-* skill), material/stackup definition only (use matlab-manage-pcb-material), EM analysis (use matlab-analyze-em), importing PCB files (use matlab-read-pcb-layout).

Analyze a feature and strategically add animations and micro-interactions that enhance understanding, provide feedback, and create delight.

Interact with Instagram from the command line: view feeds, posts, profiles, search, and perform engagement actions using cookie-based authentication.

Browse Hacker News feeds and stories from the command line, including top, new, best, ask, show, jobs, story details with comments, and search.

Diagnose bugs by establishing a tight feedback loop, tracing root cause, and verifying fixes with regression tests before making changes.

Handle social media crises with strategic response and reputation management. Use when the user needs to manage a PR crisis, handle negative feedback storms, or protect brand reputation.

This skill should be used when building market data displays, implementing price feeds, or adding technical analysis. Covers prices, market caps, technical analysis, sentiment, and trending tokens.

Analyse student work against criteria to identify specific gaps between current performance and learning objectives. Use when reviewing submissions, planning feedback, or diagnosing learning needs.

Generate structured research briefs from RSS feeds and web sources on any topic. Synthesizes multiple sources into actionable analysis with key findings, data points, expert perspectives, and content angles.

Perform code reviews following Sentry engineering practices. Use when reviewing pull requests, examining code changes, or providing feedback on code quality. Covers security, performance, testing, and design review.

Use this when the team needs detailed interaction behavior for user inputs, transitions, feedback, validation, confirmations, or stateful UI behavior that should be implementation-ready rather than purely visual.

Design interaction flows, states, and microinteractions for usability and feedback clarity. Use when: (1) defining flows, (2) state/error handling, (3) reducing cognitive load. NOT for: final code implementation.

Discover, audit, repair, adapt, and design bounded, verifiable AI-agent loops with explicit triggers, actions, stopping conditions, and guardrails.

Read Farcaster feeds, look up users, post casts, search content, and interact with the Farcaster social protocol via the Neynar API.

Build and maintain Raycast extensions using the Raycast API, covering UI components, data persistence, feedback, and restricted APIs like AI and Browser Extension.

Discovers, finds, audits, repairs, adapts, crafts, runs, debriefs, saves, and prepares repeatable AI-agent loops for publication, treating loops as bounded feedback systems.

Dispatch a code-reviewer subagent to catch issues before they cascade, with guidance on when to request review and how to act on feedback.

Browse Hacker News feeds and stories from the command line, including top, new, best, ask, show, jobs, story details with comments, and search.

Manage MyFeed things and groups via the MyFeed REST API, including creating things with alarms and inviting friends or groups.

CRLF injection playbook. Use when user input reaches HTTP response headers, Location redirects, Set-Cookie values, or log files where carriage-return/line-feed characters can split or inject content.

Perform code reviews following Sentry engineering practices. Use when reviewing pull requests, examining code changes, or providing feedback on code quality. Covers security, performance, testing, and design review.

Design an error analysis protocol to diagnose the root cause of student mistakes and misconceptions. Use when error patterns appear in student work and targeted feedback is needed.

Automates the cycle of fixing CI failures, addressing PR review feedback, and pushing changes until all checks pass.

Apply the Doherty Threshold to keep system response times under 400ms, maintaining user flow and perceived performance.

Coordinate multi-stage edge research pipelines from candidate detection through strategy design, review, revision, and export.

Searches and loads runnable skill guidance from two skill corpora via MCP or CLI, with admin commands for feedback, outcomes, and reindexing.

Discovers, installs, and manages AI agent skills from agentskill.sh, including searching, installing mid-session, scanning for security issues, and providing feedback.

When the user wants to edit, review, or improve existing marketing copy. Also use when the user mentions 'edit this copy,' 'review my copy,' 'copy feedback,' 'proofread,' 'polish this,' 'make this ...

Analyzes code diffs and files to identify bugs, security vulnerabilities, code smells, and architectural concerns, producing a structured review report with prioritized, actionable feedback.

Designs intuitive gesture-based interactions for touch and pointer devices, covering core gestures, discoverability, feedback, thresholds, conflict resolution, and accessibility.

Aggregate RSS feeds from YouTube, Vimeo, Behance, Twitter/X, Bilibili, Weibo, Douyin, Xiaohongshu, and Zhihu with incremental updates, deduplication, and AI classification.

Write and refine OKRs with feedback on ambition, measurability, and alignment to company goals. Use when: write okrs, okr review, objectives and key results, quarterly goals, review my okrs, help with okrs.

Interact with Farcaster via Neynar API. Use when the user wants to read Farcaster feeds, look up users, post casts, search content, or interact with the Farcaster social protocol. Requires NEYNAR_API_KEY.