Productivity Claude Skills
3 457 productivity skills from 510 authors. They keep notes, tasks, calendars and plans in order. Half of them fit into 1 851 tokens or less — that is what one costs your context window when the agent loads it. 479 ship runnable scripts rather than instructions alone. 51 of them cannot work without an MCP server, most often rube. We also found 336 copies of these same skills sitting in other people's repositories — counted once here, not 336 times.
3 457 unique 510 authors 2 026 updated this month 293 from vendors
| Read-only pre-flight verification of a staged release candidate (RC) for `<upstream>`. Checks artefact integrity (GPG signatures and checksums), Apache RAT licence headers, NOTICE/LICENSE completeness, prohibited-binary absence (including `.pyc` / `__pycache__`), source-tree integrity (no dangling symlinks or broken internal references), and version-string consistency. Emits a structured PASS / PASS-WITH-WARNINGS / FAIL report. Makes no state change; a `--post-to <planning-issue>` flag proposes a comment for explicit RM confirmation before any posting.
| Optional sub-skill of `security-issue-import`, `security-issue-invalidate`, and `security-issue-sync` that arrive directly from the reporter but was relayed onto `<security-list>` by an upstream broker (the ASF security team, a third-party disclosure platform, or an internal SOC). Runs after the parent skill's generic classification cascade, dispatches through adapters declared in `forwarders.enabled` per `tools/forwarder-relay/README.md`, applies the matched adapter's preamble-detect + credit-extract + reporter- addressing rules, and hands the routing decision back. Never mutates tracker state on its own.
| Triage a security scanner's multi-finding output (read via a pluggable scan-format adapter) and turn findings into security work only after a complete operator-reviewed triage. Reads the scan's finding index plus its per-finding evidence; buckets each finding by disposition; applies only the operator's confirmed per-entry decisions. Publishes the report as a gist and can open a report-back PR.
| Walk the verification checklist for the framework's secure agent setup and report ✓ done / ✗ missing / ⚠ partial for each check, with concrete evidence (file paths, command output, version strings). Covers nine checks across settings wiring, installed tool versions, and sandbox configuration. Read-only — never modifies anything.
Use when starting any Blender asset task, planning a production pipeline, coordinating multiple disciplines, or matching a reference photo/concept art. Invoke for game-ready assets, hard surface, environment, character, creature, export, or any multi-skill Blender workflow.
Production texture workflow for atlases, baking AO/curvature/normal/roughness maps, decals, and texture memory optimization. Use for game-ready texture pipelines in Blender via MCP.
> Decision-tree skill that recommends the optimal funnel type based on the user's business model, price point, audience, and goals. Returns a ranked recommendation with reasoning.
When the user wants to optimize post-signup onboarding, user activation, first-run experience, or time-to-value. Also use when the user mentions "onboarding flow," "activation rate," "user activation," "first-run experience," "empty states," "onboarding checklist," "aha moment," "new user experience," "users aren't activating," "nobody completes setup," "low activation rate," "users sign up but don't use the product," "time to value," or "first session experience." Use this whenever users are signing up but not sticking around. For signup/registration optimization, see signup. For ongoing email sequences, see emails.
> Full-stack paid media skill. Use whenever the work involves planning, building, optimizing, diagnosing, auditing, or reporting on paid campaigns across Meta, Google (Search/Shopping/PMax/Display/YouTube), TikTok, LinkedIn, Snapchat, or programmatic. Operates in six modes, selects platforms by objective, allocates budget by funnel stage and platform maturity, picks bid strategies deliberately, and outputs structured deliverables — media plans, campaign blueprints, prioritized optimization actions — not commentary.
Designs and implements Spring Data JPA repositories, projections, query patterns, custom repositories, CQRS read models, entity relationships, and persistence performance fixes for Java 25 and Spring Boot 4 projects. Use when the task needs repository-boundary decisions or concrete JPA implementation patterns from this skill. Do not use for generic SQL help or project-wide migration work that belongs in another skill.
Route broad or ambiguous VitaeContext work to the right module while keeping context scoped. Use when a request spans multiple surfaces, asks for overall digital-presence strategy, involves provider or install architecture, needs agent-context planning, or the correct platform skill is unclear.
Converting markdown plans into beads (tasks with dependencies) and polishing them until they're implementation-ready. The bridge between planning and agent swarm execution. Includes exact prompts used.
Jeffrey Emanuel's multi-agent implementation workflow using NTM, Agent Mail, Beads, and BV. The execution phase that follows planning and bead creation. Includes exact prompts used.
Triggers for automatically invoking the decision-framework skill before irreversible or high-blast-radius operations. Use as a checkpoint: when a proposed action matches a trigger pattern, pause and run the appropriate framework (first-principles, inversion, decision matrix, second-order thinking) before proceeding. Prevents ad-hoc calls from becoming regret.
Thinking frameworks for decisions and problem analysis. Use when evaluating options, root causes, or prioritizing.
Use when GSD commands are failing or .planning/ artifacts look inconsistent. Run before any GSD execute-phase or verify-work attempt to catch cross-artifact mismatches early.
Traces decisions and requirements through GSD artifacts. Use when user asks "why did we...", "what happened to...", or mentions decision history.
Use when the user asks "what should I work on", mentions GSD phases, ROADMAP, or .planning/ artifacts. Routes to the correct GSD command for the current project state.
> Classify the information-need of a query and dispatch it to the appropriate retrieval or reasoning strategy. Use before read-side memory access, before multi-strategy retrieval, or any time you'd otherwise default to "one retriever for everything". Returns a strategy label, a token budget, and a retrieval depth so downstream handlers can be specialised. Backed by Pre-Route (arxiv 2605.10235v2) and MemFlow (arxiv 2605.03312v1), which together show LLMs possess latent routing ability elicitable via a structured prompt — and that externalising the routing decision improves small-model performance "intent classification", or any query whose ideal handling depends on what KIND of question it is.
> Security hygiene for GSD's self-modifying skill and agent system. (.claude/skills/, .claude/commands/), modifying agent definitions (.claude/agents/), working with YAML configuration or chipset files, handling JSONL observation data (.planning/patterns/), processing community-contributed skills or chipsets, any file path operations that could involve user input, or when installing/updating project-claude configuration. Also activates for discussions about skill-creator security, trust models, or content hygiene.
> Project state awareness and session recovery for GSD-managed projects. a break, the user asks "where did we leave off" or "what's the current state", before making substantial code changes (to check for existing plans), the user seems disoriented about project status, or when something seems off and STATE.md might have relevant context. Also activates when the user references .planning/ files, milestones, phases, or project progress.
Conversational guide for using tools/session-retro/observe.mjs to capture friction, wins, corrections, decisions, gaps, tool-use, and checkpoints as they happen during a session. Use at session start (to kick off the log), at inflection points (to record events), and at session end (to archive and feed the retrospective generator).
> Audit a skill by running a paired probe — the same task once with the skill loaded and once without — segment both traces into goal-directed phases, align phases, and emit a SIP report (surface anchoring, template copy, excess planning, task recovery, off-task artifact). Use whenever a skill is created, modified, or proposed for retirement. shows a single skill can produce 522 measurable behavioural changes this skill", "is this skill helping", "retire skill", "before shipping skill", "behavioural impact of skill X", or any skill review event.
OpenStack capacity planning operations skill for resource planning, quota management, and scaling decisions. Covers compute capacity (allocation ratios, vCPU/RAM utilization, host aggregates, availability zones), storage capacity (Cinder pool sizing, thin provisioning, Glance storage, Swift rings), network capacity (floating IP pools, port quotas, subnet sizing), project quota management (templates for small/medium/large profiles), flavor sizing strategy, utilization analysis with placement service, growth forecasting from historical metrics, and right-sizing recommendations for underutilized resources.
Generates complete construction documentation packages — BOM, installation sequences, commissioning checklists, and O&M manuals — from verified engineering designs.
Electrical power distribution design for infrastructure: load calculations (NEC 220), conductor sizing (NEC 310.16), transformer/UPS/PDU selection, redundancy architectures (N through 2N+1), DC distribution, and voltage classes 120V-480V. Activates for electrical load calculations, conductor sizing, power equipment selection, data center power design, and redundancy architecture planning.
>- Stress-tests a plan through dependency-aware, easy-to-answer decision prompts. Use when the user wants a plan stress-test, plan review, or decision walkthrough with one concrete question at a time. During decision questions, `Recommendation/default`, `Why this matters`, and `Choices`.
Production readiness for CometChat Android — server-side token auth, user management CRUD, ProGuard rules, and security checklist.
V5→V6 migration recipes for native Android. CometChat ships V5 (chat-uikit-android:5.x — Java + Kotlin Views) and V6 (chatuikit-{compose,kotlin}-android:6.x — GA 2026-05-25 — Compose surface OR Kotlin Views, calls bundled) side-by-side. Covers when to migrate vs stay, the cohort-selection decision (Compose vs Kotlin Views on V6), gradle dependency rewrites, builder API changes (UIKitSettings replaces UIKitSettingsBuilder), theme system rewrite (CometChatTheme.DayNight), calls integration delta (calling UI bundled, but calls-sdk-android:5.0.+ is still a required peer dep), Activity theme rules, side-by-side cohort selection during migration, and a verification checklist.
CometChat Android UIKit v6 production readiness — token auth, ProGuard/R8, security checklist, release configuration
Production-readiness for CometChat Angular UI Kit v5 (@cometchat/chat-uikit-angular@5) — server-minted auth tokens via CometChatUIKit.loginWithAuthToken(authToken), user management CRUD, environment.prod.ts hardening (no authKey, no REST API Key), external-backend recipes (Express / Hono / Firebase Functions / Vercel), and the security checklist. Angular ships src/ to the client, so the REST API Key is always server-only.
> Production readiness for CometChat Flutter UIKit v6 — server-side auth tokens, user management, Android ProGuard/R8, iOS Info.plist, minSdk, release build checklist, environment configuration, and security hardening. Use when preparing a CometChat Flutter app for production deployment.
Production-ready CometChat iOS setup — server-side auth tokens, security best practices, and deployment checklist.
Production readiness for CometChat — server-side token auth, user management CRUD, environment hardening, and security checklist. Replaces dev-mode authKey with server-side tokens.
When the user wants to optimize post-signup onboarding, user activation, first-run experience, or time-to-value. Also use when the user mentions "onboarding flow," "activation rate," "user activation," "first-run experience," "empty states," "onboarding checklist," "aha moment," or "new user experience." For signup/registration optimization, see signup-flow-cro. For ongoing email sequences, see email-sequence.
This skill should be used when the user asks to "plan a penetration test", "create a security assessment checklist", "prepare for penetration testing", "define pentest scope", "follow security testing best practices", or needs a structured methodology for penetration testing engagements.
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, Facebook, or other platforms. Also use when the user mentions 'LinkedIn post,' 'Twitter thread,' 'social media,' 'content calendar,' 'social scheduling,' 'engagement,' or 'viral content.' This skill covers content creation, repurposing, and platform-specific strategies.
Use whenever the user wants to find, shortlist, vet, or enrich US B2B law firms — corporate, IP/patent, M&A and securities, employment, commercial litigation, regulatory/compliance, data privacy/cyber, real estate, and tax. Triggers on "find three boutique IP law firms in California", "shortlist M&A counsel for a Series-B fundraise", "patent prosecution for our hardware startup", or "pull contact info for these 10 law firm domains", even when described indirectly (outside counsel, cap-table review, GDPR/SOC2 oversight). Drives the ServiceGraph API (api.servicegraph.co) — a 100k+ US firm catalog filterable by industry, services, location, size, ratings. Skip personal/consumer legal services where the user is the end client (divorce, personal injury, criminal defense, family law, estate planning, wills) — the catalog is B2B-only. Also skip in-house GC hires, "is this NDA enforceable" DIY questions, non-US firms, individual freelancers.
>- Claim the single next governance todo (marks in_progress). Trigger on /pm-next and related English phrases for this command.
Interview the user relentlessly about a plan or design until every branch of the decision tree has an explicit recorded decision and no open questions remain. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
"Preview or rename a GitHub upstream repo and matching local project folder, update origin, and preserve Codex CLI and Claude Code continuity references."
Archive checked TODO.md tasks into `.ai/todos/TODO_UNTIL_YYYY_MM_DD.md`, leaving unchecked tasks.