14건 · 관련도순
Use tsift for token-efficient repository navigation, code search and reading, call graphs, diffs, logs, tests, session context, and workspace memory. TRIGGER: exploring or changing a codebase with tsift installed, or working on the tsift repo. SKIP: plain file-level glob, non-code web search. VERSION CHECK: compare `tsift --version` against tsift-version below before trusting any command text copied from this file.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Reads, searches and counts Claude Code session transcripts (the .jsonl files under ~/.claude/projects, subagents too) with the csift command-line tool, and ships hooks that re-inject compacted turns or record pending questions. Use when asked what a past or running session said, did, edited, spent or is doing now; when about to grep, jq or script over a transcript jsonl (a type=="user" filter overcounts the person's messages), count how many messages the person typed, tool calls or tokens, or claim something was never done or decided; to rebuild a lost file or plan from what a session wrote, extract pasted images, restore turns a compaction summary lost, find a subagent's own id when CLAUDE_CODE_SESSION_ID names the parent, wait on or message another session or subagent; or when csift prints "unknown label selector", "show needs an address", "looks like a session/agent id, not a project path" or "0 matches — a DEFINITIVE absence". Not for semantic or embedding search: csift matches regular expressions only.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design a fact-checking protocol for AI-generated text, extending SIFT with AI-specific adaptations for hallucination detection. Use when students need to verify AI claims and citations.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Annotate and filter VCF variants with SnpEff and SnpSift. SnpEff predicts functional effects (HIGH/MODERATE/LOW/MODIFIER), genes, transcripts, AA changes, HGVS; SnpSift filters and adds ClinVar/dbSNP. Java CLI with Python subprocess integration. Use ANNOVAR for multi-database annotation; Ensembl VEP for REST API; SnpEff for fast CLI with pre-built genomes.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design a fact-checking protocol for AI-generated text, extending SIFT with AI-specific adaptations for hallucination detection. Use when students need to verify AI claims and citations.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Story Driven Development workflow. Use this skill whenever working in a project that has `.sdd/config.yaml`, or when the user mentions SDD, sdd sync, story driven development, spec-driven development, change requests, bugs, or asks to implement a feature described in `product/` or `system/`. Also trigger on phrases like "sync the docs", "mark synced", "apply this CR", "fix this bug" when an SDD project is detected.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Remote sync workflow for Story Driven Development. Use this skill whenever the user asks to pull from remote, push changes to SDD Flow, enrich drafts, update local state from remote, publish local updates, process remote drafts, or run a remote worker job (enrich or sync). Also trigger on phrases like "sdd pull", "sdd push", "sync with SDD Flow", "enrich this CR", "push the remote updates", "pull the latest specs".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
UI Component Editor workflow. Use when the user wants to implement a React component from a screenshot in an SDD project, iterating visually with live preview.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyze Windows Registry files to uncover user activity, installed software, USB connections, and automatic startup entries. Organize these traces into investigation summaries and timelines to help examine suspicious activity and possible malware persistence.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Geolocate or chronolocate a photo with tool-verified reasoning (where was this taken / when was it taken / photo geolocation / geo-guessing). Given one or more photos, intake.py does metadata, OCR and reverse image search (Baidu/Yandex) in one command; clues and candidates go on a candidate board (board.py) that ranks them and gives the next step; clues.py looks up calling codes, driving side, plates and area codes from region packs; for satellite and street view the machine ranks first and you look only at the top few (CLIP in sat_scan.py, DINOv2+SIFT in match.py); plus sun and shadow math, OSM Overpass and DEM skylines. Every conclusion is checked against real data; output is coordinates + error radius, evidence images and tiered confidence. Use when the user shares a photo and asks where was this taken / geolocate this / when was this taken / 这是哪 / 在哪拍的 / 帮我定位这张照片 / 网络迷踪 / 图寻 / 几点拍的.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design a source evaluation protocol using lateral reading and credibility checks for digital information. Use when students need to evaluate websites, online sources, or social media claims.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Verify sources, claims, images, video, documents, interviews, and synthetic media with SIFT and a durable evidence trail. Use before relying on uncertain material.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design a source evaluation protocol using lateral reading and credibility checks for digital information. Use when students need to evaluate websites, online sources, or social media claims.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Evaluating online information for credibility, accuracy, and context. Covers the SIFT method (Stop, Investigate, Find, Trace), lateral reading, reverse image search, primary source verification, and common misinformation tactics. Use when assessing the trustworthiness of a web page, article, video, social media post, or any digital claim before relying on it or sharing it.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.