1.2K skills · sorted by relevance
"Design shotgun: generate multiple AI design variants, open a comparison board, collect structured feedback, and iterate. (gstack)".
The English summary is being prepared. Showing the original description.
Triage and address GitHub PR review comments systematically—classify, respond, fix or defer with rationale. Use when a PR has review feedback, requested changes, or unresolved threads.
The English summary is being prepared. Showing the original description.
Review code for quality, security, and performance with comprehensive feedback.
The English summary is being prepared. Showing the original description.
Run structured design critiques with frameworks for feedback that is honest, specific, and actionable.
The English summary is being prepared. Showing the original description.
Build SaaS customer support — tiered support models, SLAs, macros, escalation, and support-driven product feedback.
The English summary is being prepared. Showing the original description.
Structured code review discipline: correctness, design, readability, and security checks with actionable feedback. Use when reviewing diffs, PRs, or code snippets before merge or after writing.
The English summary is being prepared. Showing the original description.
Professional code review craft: review strategy, feedback that lands, reviewer efficiency, and team review culture. Use when reviewing code or improving a team's review process.
The English summary is being prepared. Showing the original description.
Design and operate CI/CD pipelines: fast feedback, deployment strategies, environments, and pipeline reliability. Use when building, fixing, or scaling build and deploy pipelines.
The English summary is being prepared. Showing the original description.
Design chatbot user interfaces — message layouts, suggestion chips, rich cards, feedback controls, and accessibility. Use when designing the visual and interaction layer of conversational UIs.
The English summary is being prepared. Showing the original description.
Write balanced, evidence-based performance reviews for employees. Covers achievements, development areas, and goal setting using the SBI (Situation-Behavior-Impact) feedback model. Produces reviews that are fair, legally defensible, and growth-oriented. Use during annual or semi-annual review cycles. Do not use for disciplinary actions, PIPs, or compensation calculations.
The English summary is being prepared. Showing the original description.
Analyze survey and feedback data with statistical distributions, cross-tabulations, significance testing, and open-ended theme extraction. Produces executive-ready survey reports with segment comparisons and action recommendations. Use when processing NPS, CSAT, employee engagement, or market research surveys.
The English summary is being prepared. Showing the original description.
Package interview loops, schedules, feedback follow-ups, and candidate next steps for recruiting operations. Use when the work is routine hiring coordination and recap packaging. Do not use for final hiring decisions, compensation judgment, or sensitive people-policy advice.
The English summary is being prepared. Showing the original description.
Route a vague Prisma Next prompt to the right specific skill. Use for "help me with Prisma Next", "what is Prisma Next", "explain Prisma Next", "I'm new to PN", "where do I start", "what can I do with Prisma Next", "what can I do next with Prisma", "just ran createprisma", "tour of Prisma Next", "Prisma Next overview", and comparison questions like "Prisma Next vs Prisma 7", "PN vs Drizzle", "PN vs Kysely", "PN vs TypeORM". Do NOT use when the prompt clearly matches a workflow skill — adoption / quickstart / first-touch orientation / brownfield introspection, schema / contract editing, migration authoring (db update / migration plan / migrate), migration review on deploy / concurrent migrations, queries / db.orm / db.sql / TypedSQL, runtime / db.ts / middleware wiring, build / Vite plugin / Next.js plugin, debug / structured error envelopes / PN-* error codes, or feedback / bug report / feature request — load that sibling skill directly.
The English summary is being prepared. Showing the original description.
Append a session/state snapshot to MEMORY.md (regardless of where it lives — for this repo it's `founder/MEMORY.md`). Use when the user says "snapshot memory", "save state to memory", "/memory-snapshot", "log what happened in MEMORY", or otherwise asks to record the current session's outcomes for the next orchestrator. Locates the project's MEMORY.md, prepends a dated entry above the previous snapshot (newest first), preserves every existing entry (NEVER overwrites or truncates), and reports back the file path + byte delta. Not for one-off feedback memories (use the user-level memory system at ~/.claude/.../memory/ for those). Not for trimming or deleting old entries.
The English summary is being prepared. Showing the original description.
Push committed changes and create a draft PR on GitHub. Use when you have staged changes ready to push and want to open a draft PR for early feedback or documentation.
The English summary is being prepared. Showing the original description.
Audit essays, reports, literature reviews, dissertations, proposals, and source-backed assignments for high-score academic quality. Use when the user asks whether a paper can get a high grade, wants teacher/rubric feedback addressed, needs a pre-submission review, or needs checks for strict rubric compliance, academic standards, prompt/rubric alignment, argument quality, comparative analysis, evidence hierarchy, table/figure integration, citation specificity, conclusion strength, academic language, source-claim integrity, or evidence boundaries.
The English summary is being prepared. Showing the original description.
Revise an already accepted article, essay, paper, statement, or manuscript under strict minimal-change constraints while still satisfying reviewer comments, supervisor feedback, or requested edits. Use when the user asks for minimal edits, smallest necessary changes, preserve the current voice, keep the existing style, avoid broad rewriting, or implement requested revisions without unnecessary polishing.
The English summary is being prepared. Showing the original description.
Audit a prompt the user is about to send to Claude (or another coding AI) for completeness and effectiveness. Use this skill whenever the user shares a prompt and asks for feedback — phrases like "is this prompt good", "audit my prompt", "review this prompt", "will Claude understand this", "improve this prompt", "is this enough context". Also trigger proactively when you notice the user is about to dispatch a vague, under-specified, or over-constrained prompt for non-trivial work. Checks the 6 essential elements (goal, scope, existing patterns, constraints, verification, done definition), flags what's missing, explains why each gap matters, and produces an improved rewrite. Treat this skill as the litmus test for "Be Claude's PM" — if the prompt fails the audit, the work that follows will probably fail too.
The English summary is being prepared. Showing the original description.
Runs a single Copilot review check-fix cycle on a PR using gh CLI. Use this skill whenever the user wants to: check and fix Copilot review comments, request a Copilot code review on a PR, or iterate on PR feedback. Trigger on phrases like 'copilot review', 'fix PR comments', 'iterate on PR', 're-review', or when the user mentions 'gh pr' with 'copilot'. Combine with /loop for automated repeated cycles, e.g. '/loop 2m /copilot-review'.
The English summary is being prepared. Showing the original description.
Runs a single Codex (ChatGPT/OpenAI) review check-fix cycle on a PR using gh CLI. Use this skill whenever the user wants to: check and fix Codex review comments, request a Codex code review on a PR, or iterate on PR feedback from the chatgpt-codex-connector bot. Trigger on phrases like 'codex review', '@codex review', 'fix codex comments', 'iterate on PR', 're-review with codex', or when the user mentions 'gh pr' with 'codex'. Combine with /loop for automated repeated cycles, e.g. '/loop 2m /codex-review'.
The English summary is being prepared. Showing the original description.
Guidance for Tauri v2 haptics plugin with feedback patterns and graceful fallback.
The English summary is being prepared. Showing the original description.
Multi-agent management workflow — task delegation, progress monitoring, quality verification with regression testing, feedback delivery, and cross-review orchestration. Use this skill when coordinating multiple agents on a shared task, monitoring delegated work, ensuring quality across agent outputs, or implementing a multi-phase plan (3+ phases or 10+ file changes).
The English summary is being prepared. Showing the original description.
Sweep a PR's automated + human review comments and act on them — especially for material (large / logic-bearing) PRs. Handles "sweep the PR comments", "check PR review feedback", "address review comments", "did the bots flag anything", and the pre-/post-merge review pass on any non-trivial PR.
The English summary is being prepared. Showing the original description.
Provide constructive, evidence-based research mentoring feedback on student manuscripts, proposals, analyses, code, figures, and presentations. Use for advisor-style review that teaches the next improvement without impersonating an advisor or making unsupported scientific judgments.
The English summary is being prepared. Showing the original description.