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Skills that do not fit the categories above (14K skills)

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Generate a PR description for the current branch against your base branch.

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g2i-ai/agents53Updated Apr 21, 2026

brief

Free

Create a product brief document for a feature or project.

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g2i-ai/agents53Updated Apr 21, 2026

spec

Free

Transform a product brief into a technical specification.

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g2i-ai/agents53Updated Apr 21, 2026

Set up and configure wallet signing providers for OpenSea transactions. Supports Privy, Turnkey, Fireblocks, Bankr, and local private keys. Required for executing trades (opensea-marketplace) and token swaps (opensea-swaps).

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ProjectOpenSea/opensea-skill53Updated Oct 6, 2026

Token transactions and wallet integration for XMTP agents. Use when sending USDC, creating transaction requests, or handling transaction confirmations. Triggers on USDC transfer, wallet calls, or transaction reference.

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xmtplabs/xmtp-agent-examples53Updated Feb 21, 2026

ENS and Web3 identity resolution for XMTP agents. Use when resolving domain names, extracting mentions, or fetching Farcaster profiles. Triggers on ENS resolution, Farcaster lookup, or mention extraction.

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xmtplabs/xmtp-agent-examples53Updated Feb 21, 2026

Patterns for handling commands, validating input, and filtering messages in XMTP agents. Use when implementing slash commands, validators, or message filters. Triggers on command handling, input validation, or type guards.

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xmtplabs/xmtp-agent-examples53Updated Feb 21, 2026

Group conversation management for XMTP agents. Use when creating groups, managing members, setting permissions, or sending welcome messages. Triggers on group creation, member management, or permissions.

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xmtplabs/xmtp-agent-examples53Updated Feb 21, 2026

Generates animation configurations for Remotion including spring configs, interpolations, easing functions, and timing logic. Focuses ONLY on animation parameters, NOT component implementation. Use when defining animation behavior or when asked to "configure animations", "setup spring configs", "define easing curves".

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ncklrs/startup-os-skills53Updated Feb 27, 2026

Generates Remotion composition structure focusing ONLY on Sequence ordering, scene transitions, and duration mapping. Input is scene list with durations. Output is COMPOSITION_STRUCTURE.md with Sequence layout and timing calculations. Use when organizing scenes or when asked to "structure composition", "layout scenes", "calculate timing".

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ncklrs/startup-os-skills53Updated Feb 27, 2026

adr

Free

Expert Architecture Decision Record (ADR) creation and lifecycle management based on Olaf Zimmermann's methodology. Use when creating ADRs, reviewing architectural decisions, evaluating decision readiness, writing MADR templates, assessing decision quality, or managing ADR logs. Covers the full lifecycle from readiness (START criteria) through creation, MADR formatting, completion (ECADR criteria), and ongoing maintenance.

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ncklrs/startup-os-skills53Updated Feb 27, 2026

Generates individual Remotion scene components from visual direction. Input is visual/animation description for a specific scene. Output is SCENE_COMPONENT.md with complete TSX implementation. Use when implementing scenes or when asked to "create a scene component", "implement scene from spec", "build Scene1Intro".

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ncklrs/startup-os-skills53Updated Feb 27, 2026

Generate structured software specifications for features, bug fixes, and products. Use when the user wants to create a spec, PRD, feature brief, requirements document, or when starting any new implementation that needs a specification first. Invoke via /spec-writer or when the user says "write a spec", "spec this out", "create a spec", "I need a spec for...", or describes a feature they want to build. Produces adaptive-complexity specs with Job Stories, Gherkin acceptance criteria, and three-tier boundaries. Output is a markdown file ready for agent execution or human review.

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SamJHudson01/Carmack-Council53Updated Mar 16, 2026

Inspect repository session replay and verify configured MetaHarness field memory boundaries before reusing outcomes.

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ruvnet/agentic-reports53Updated Sep 11, 2026

evolve

Free

Evaluate proposed repository harness changes with pinned Darwin tools and explicit evidence limits.

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ruvnet/agentic-reports53Updated Sep 11, 2026

Acknowledge templates-first policy for the current session — bypasses the pre-bash-templates-first hook for the remainder of the session

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Kanevry/session-orchestrator52Updated Oct 28, 2026

Start a development session (housekeeping, feature, deep; ultradeep = deep + profile)

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Kanevry/session-orchestrator52Updated Oct 28, 2026

Use when publishing this package to npm — a version release (npm publish), verifying the registry/pi.dev listing, or diagnosing npm auth failures (E403 2FA/token errors). Token-based flow via NPM_TOKEN in .env.local with a temp userconfig, the leakage gate before every publish, post-publish verification and marker/badge upkeep. Trigger on "publish to npm", "npm release", "E403 publish error".

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Kanevry/session-orchestrator52Updated Oct 28, 2026

Cut a release — the order the steps must run in, and the criteria that abort a release

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Kanevry/session-orchestrator52Updated Oct 28, 2026

Use this skill when the user wants to identify unused, near-zero-use, or stale skills/agents/commands in the plugin surface so they can be demoted or retired. Combines agent-dispatch telemetry (start-events only) with static reference scanning, classifies every surface item into Active / Investigate / Demote / Retire, and emits a Markdown report plus JSON sidecar. NEVER auto-deletes — surfaces candidates for human decision. Quarterly cadence. <example>Context: The plugin surface has grown and the maintainer wants to prune dead weight. user: "/sunset-review" assistant: "Running the sunset walk — classifying skills, agents, and commands by usage telemetry + static refs, grouped by Retire / Demote / Investigate / Active. No item is deleted automatically; I'll surface Retire/Demote candidates for your decision." <commentary>The user wants a usage-driven prune candidate list; this skill runs the read-only walker, presents grouped verdicts, and writes a sidecar — it never deletes.</commentary></example>

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Kanevry/session-orchestrator52Updated Oct 28, 2026

Use this skill when dispatching implicit slash-command intent from the user's first message. Inspects the user's first message for implicit slash-command intent and dispatches to the highest-confidence matching entry-point skill via the Skill tool. Only active when `auto-skill-dispatch: true` in Session Config. Silent no-op otherwise.

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Kanevry/session-orchestrator52Updated Oct 28, 2026

Use this skill when running an autonomous session-orchestration loop. Chains session-start → session-plan → wave-executor → session-end for N iterations with all 10 kill-switches (SPIRAL, FAILED wave, carryover > 50%, max-hours, max-sessions, resource-overload, token-budget, stall-timeout, sub-threshold confidence, user-abort). Reads Mode-Selector output (Phase B) to decide auto-execute vs. fallback. Writes one autopilot.jsonl record per loop run. Phase C scaffold (issue #277); implementation lives in scripts/lib/autopilot.mjs (Phase C-1 follow-up).

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Kanevry/session-orchestrator52Updated Oct 28, 2026

Use this skill when executing the agreed session plan in waves with role-based execution and parallel subagents. Handles inter-wave quality checks, plan adaptation, and progress tracking. Core orchestration engine for feature and deep sessions. Triggered by /go command.

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Kanevry/session-orchestrator52Updated Oct 28, 2026

go

Free

Approve session plan and begin wave execution

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Kanevry/session-orchestrator52Updated Oct 28, 2026