3,342 件 ・ 関連度順
概要と使いどころ
Automates the process of posting to an already logged-in Instagram account using a browser-capable agent. Use this skill when the user requests to post, upload, publish, or share a video or image to Instagram with provided content and tags.
日本語の概要は準備中です。原文の説明を表示しています。
Sync processed CSS design tokens with JavaScript theme objects for React Native. Use when aligning tokens after Figma sync, checking token consistency, or updating JS theme files manually.
日本語の概要は準備中です。原文の説明を表示しています。
Triage the Gaia issue backlog and skill-batch intake queue. Use this skill when someone asks to: "triage issues", "clean up the issue tracker", "review the backlog", "close stale issues", "process the intake queue", "review skill-batches", "evaluate draft skill proposals", "approve or reject pending skills", "is this issue still valid?", "what's clogging the backlog?", "run a triage pass", or /gaia-triage. Covers two workstreams: (1) GitHub issue lifecycle — identifying resolved, stale, or need-more-info issues and acting on them via gh CLI; (2) skill-batch intake — evaluating draft proposals in registry-for-review/skill-batches/ and routing them toward promotion or rejection. This is the gatekeeping step before new skills enter the canonical registry; and (3) a cross-repo triage sweep — sizing, P0-P4 prioritization, umbrella/epic synthesis, and assignment across every gaia-research org repo, on the one headquarters tracker.
日本語の概要は準備中です。原文の説明を表示しています。
Strip workflow notes, engineering meta text, status remarks, workspace references, and other process-facing language from any final deliverable such as a PPT, DOCX, PDF, report, manuscript, or submission package. Use when preparing a final export, submission-ready artifact, or client-facing handoff.
日本語の概要は準備中です。原文の説明を表示しています。
Establishes behavioral baselines from historical telemetry (process, network, or logon events) so hunts can flag rare and first-seen activity instead of relying on static signatures. Activates for requests to build a telemetry baseline, find rare or first-seen activity, or compute frequency baselines for anomaly hunting.
日本語の概要は準備中です。原文の説明を表示しています。
Hunts for malicious scheduled task persistence by analyzing task registration events (4698) and schtasks process creation for suspicious actions, triggers, and hidden tasks. Activates for requests to hunt scheduled task abuse, detect malicious schtasks usage, or find persistence via the Task Scheduler.
日本語の概要は準備中です。原文の説明を表示しています。
Extracts an embedded malware configuration (C2 hosts, ports, campaign IDs, keys) from a process memory dump by locating decrypted config structures and decoding common obfuscation layers. Activates for requests to extract malware config from a memory dump, recover C2 settings from a running sample, or decode an in-memory configuration block.
日本語の概要は準備中です。原文の説明を表示しています。
Hunts for Cobalt Strike beacon traffic by detecting default stager URI checksum8 values, default Malleable C2 profile artifacts, and default ports/named pipes in HTTP and process telemetry. Activates for requests to hunt Cobalt Strike, detect beacon stager URIs, or find default Malleable C2 indicators.
日本語の概要は準備中です。原文の説明を表示しています。
Hunts for unusual outbound network connections by flagging direct-to-IP traffic, uncommon ports, rare destinations, high data-egress ratios, and connections from unexpected processes in network telemetry. Activates for requests to hunt unusual outbound traffic, detect suspicious egress, or find anomalous external connections.
日本語の概要は準備中です。原文の説明を表示しています。
Runs a sample in an instrumented sandbox to observe behavior: process tree, file and registry changes, network activity, and persistence, then summarizes the behavioral report into capabilities and IOCs. Activates for requests to detonate a sample, do dynamic or behavioral analysis, or interpret sandbox output.
日本語の概要は準備中です。原文の説明を表示しています。
Collects volatile evidence from a potentially compromised host in correct order of volatility: memory, network state, running processes, logged-on users, and open handles, while preserving integrity and minimizing footprint. Activates for requests to collect volatile evidence, perform live response, or capture host state before shutdown.
日本語の概要は準備中です。原文の説明を表示しています。
Analyzes bootkit and rootkit samples by identifying boot-process tampering (MBR/VBR/ UEFI), kernel-mode components, and stealth hooking techniques from static indicators. Activates for requests to analyze a bootkit or rootkit, examine MBR/UEFI tampering, or identify kernel-mode stealth components.
日本語の概要は準備中です。原文の説明を表示しています。
Rebuilds a usable PE file from a memory dump by fixing the section alignment (virtual-to-raw), correcting the entry point, and preparing for import table reconstruction. Activates for requests to rebuild a dumped PE, fix a memory-dumped executable, or convert a process dump into an analyzable file.
日本語の概要は準備中です。原文の説明を表示しています。
Analyzes API call traces from a sandbox or API monitor (JSON) to group calls by category, reconstruct high-level behaviors (process injection, file drops, network, crypto), and flag suspicious call sequences. Activates for requests to analyze an API trace, interpret sandbox API logs, or identify behavior from Win32/Native API calls.
日本語の概要は準備中です。原文の説明を表示しています。
Process meeting notes into structured notes + action items
日本語の概要は準備中です。原文の説明を表示しています。
SQL discipline for querying Pulp Perfetto traces (.pftrace) with trace_processor — idempotent CREATE OR REPLACE PERFETTO views, GLOB not LIKE, dur = -1 incomplete-slice handling, EXTRACT_ARG for span args, joining on stable utid/upid, SPAN_JOIN PARTITIONED, and the draft→validate→execute loop. Ships Pulp's CPU/UI trace stdlib plus closed GPU startup, health, and probe views. TRIGGER when writing or debugging SQL over a .pftrace, when `pulp trace query` returns wrong/empty rows, or when the trace-analysis skill needs a query primitive.
日本語の概要は準備中です。原文の説明を表示しています。
Create Faust DSP plugins in Pulp using Pulp-owned reference DSPs, optional external code generation, and the FaustProcessor template wrapper.
日本語の概要は準備中です。原文の説明を表示しています。
Reproduce and debug "only happens in a DAW" audio plugin bugs (cutouts, glitches, parameter-change failures) entirely offline — headless Processor scenes for DSP bugs and a standalone AudioUnit host probe for adapter/host-interaction bugs. Use when a plugin misbehaves in Logic/Live/etc. but unit tests are green.
日本語の概要は準備中です。原文の説明を表示しています。
Audio Unit v2 adapter work for Pulp — picking the right AU component type (aufx/aumf/aumi/aumu) and its matching entry macro, wiring MIDI input and output (including the aumi MIDI-processor adapter), sharing the base-class-free adapter surface, and avoiding the DAW-side component cache that silently masks repackaging.
日本語の概要は準備中です。原文の説明を表示しています。
CLAP format adapter for Pulp — how Processor bridges to clap_plugin_t, how parameters / modulation / sidechain / MPE / UMP / sysex flow, and the pitfalls discovered while wiring the adapter.
日本語の概要は準備中です。原文の説明を表示しています。
Pulp timeline transport, immutable compiled playback programs, bounded arrangement audio rendering, block-level publication latches, stable shells, and ProcessContext projection.
日本語の概要は準備中です。原文の説明を表示しています。
Debug or validate Pulp animations / transitions / scroll behavior using in-process motion fixtures and offline visual analysis. TRIGGER on phrases like "animation is wrong", "transition timing off", "fade too late", "card slides too far", "scroll jumps on restore", "scroll offset wrong on restore", "frame jump in the timeline", "easing looks wonky", "imported Figma motion doesn't match source", "settle time / overshoot / drift / monotonic", "what value does the knob reach at frame N", "record this animation so I can replay it", "this animation is expensive — which one and why", "reduced-motion broken", "scrub a captured fixture". Captures fixtures (.motion.jsonl), and ships assertion helpers (is_monotonic / settling_time_seconds / overshoot / start_delay_seconds / final_value / local_step_outlier_ratio) and the `scroll_geometry` trace for `ScrollView` content-offset / visible-rect / content-size observability. Off by default in prod.
日本語の概要は準備中です。原文の説明を表示しています。
fMRI data analysis — preprocessing, GLM modeling, and group-level inference for task and resting-state studies.
日本語の概要は準備中です。原文の説明を表示しています。
Master FFmpeg for video/audio conversion, compression, trimming, subtitles, streaming, and batch processing.
日本語の概要は準備中です。原文の説明を表示しています。