文件操作
文件系统与批量文件任务
用途与选择建议
这类技能将文件整理、命令行操作等重复任务整理为可复用流程。选择时比较依赖工具、会修改的文件，以及是否支持预览或试运行。
analyzing-linux-system-artifacts
mukul975
Examine Linux system artifacts including auth logs, cron jobs, shell history, and system configuration to uncover
acquiring-disk-image-with-dd-and-dcfldd
mukul975
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through
hindsight-coding-agent
vectorize-io
How this machine's Hindsight coding-agent memory works — the plugin behind the 🧠 banner. Use when the user says "store/remember this in hindsight", asks what the memory/knowledge pages are, wants to configure per-repo memory (disable, rename banks, git depth), or something memory-related looks broken.
create-agent
vectorize-io
Create a new Hindsight-powered subagent with long-term memory. Use when the user wants a specialized agent that learns and remembers across sessions.
qa-team
PostHog
Multi-agent QA review team for code changes. This skill should be used when the user asks to "review my code", "run QA", "qa-team", "review this branch", "code review", "check my changes", or wants a comprehensive multi-perspective code review of the current branch's changes. Spawns parallel specialist agents (security, database, reliability, compatibility, data integrity, performance, frontend, copy) that independently review the diff and produce a converged report. Also includes two generalist reviewers for convergence validation.
modifying-taxonomic-filter
PostHog
Guides safe modification of the TaxonomicFilter — PostHog's multi-tab picker for events, actions, properties, cohorts, and more. Front-loads the empirical product reality (what users actually pick and search for) plus the three live variants (legacy-control, legacy-pill behind TAXONOMIC_FILTER_CATEGORY_DROPDOWN, and the opt-in rebuild menu behind TAXONOMIC_FILTER_MENU_REBUILD) so changes are judged against real behavior and mirrored across surfaces, not made against one arm in isolation. Use when adding features, fixing bugs, or refactoring TaxonomicFilter, the rebuild menu, or the headless filter panel.
generating-clickhouse-query-performance-reports
PostHog
Produce and structure slow-query performance reports for PostHog's production ClickHouse (US and EU). Use when asked for a slow query report, query performance analysis over the last N days, per-team query cost, OOM or timeout investigation, cluster cost/memory regressions, or materialization candidates. Covers the modern query_log_archive source (typed lc_* columns, multi-day retention), how to categorize and attribute slow queries, root-cause patterns (unmaterialized JSONExtract, high-cardinality breakdowns, heavy joins), and the report structure. Runs queries via the query-clickhouse-via-metabase skill.
splitting-oversized-modules
PostHog
Split an oversized Python module (a thousand-plus-line logic.py, models.py, api.py, or its test file) into a package of one module per concern, mechanically and provably without changing behavior. Use on a request to split / break up / decompose a god module or move functions out of one, once a human has agreed to split one before some other change, or before restructuring code inside a module already over roughly a thousand lines — breaking up a long function or extracting helpers in place leaves everything in the same file, so check the worth-it gate and propose the split first. Covers that gate, assigning symbols to concerns with an acyclic dependency graph, the AST plus tokenize move script, and proving the result is a pure move. Python only — for frontend files use writing-ui-components. Not for extracting a shared helper into common/, and not for moving code between products, which is isolating-product-facade-contracts.
warehouse-source-new-version
PostHog
Add support for a new vendor API version to an existing Data warehouse import source, or deprecate an old one. Use when a vendor ships a new API version (Stripe date versions, Shopify quarterly versions, header-pinned revisions, /vN/ URL bumps), when implementing a version-update or deprecation task for a source under products/warehouse_sources/backend/temporal/data_imports/sources, or when repinning an ExternalDataSource to a different version. Covers deciding whether a newly announced version needs supporting at all, version declaration, dispatch, pinning semantics, deprecation metadata, and migration scripts.
placing-product-frontend-code
PostHog
Decide which tree a frontend file belongs in — products/<name>/frontend/ or frontend/src/scenes/<name>/ — and explain why the boundary is real rather than stylistic. Use when adding a new scene, component, or logic file for a product; when creating a new directory under frontend/src/scenes/; when a product has UI in both trees and you need to know which side to extend; or when moving a scene into its product. Covers the merge-queue lane cost of the split, the measurement showing a dependency graph cannot substitute for the path signal, and a report script that shows how far each product's move has gone.
scene-menu-bar
PostHog
Conventions for adding or editing the SceneMenuBar above a scene's <SceneTitleSection>. Use when adding new menu items, moving items between menus, gating behind feature flags, building a new scene's menubar, or wiring rich inputs (tags, combobox) into the bar.
establishing-code-ownership
PostHog
Determine which PostHog team owns a file, directory, or code path, or enumerate all code a team owns (via distributed owners.yaml, products/*/product.yaml, and .github/CODEOWNERS). Use when assigning a reviewer, attributing a bug or slow query to a team, routing work, scoping a team-wide audit, or answering "who owns X" / "what does team Y own".
writing-pr-descriptions
PostHog
Shapes a PR body into something a reviewer understands at a glance. Use ALWAYS before writing or editing a PR description, before gh pr create or gh pr edit --body, and when asked to improve an existing description. Puts the effect a person sees in the first line and the mechanism under it, routes each remaining fact to the form that carries it fastest (bullet, table, diagram, screenshot, collapsed block), cuts everything a reviewer does not need, then holds what survives to a checkable shape: one fact per bullet, sentences under 25 words, active voice, no idioms. Makes the body stand alone, so a reader who opens no files still knows why the PR is necessary and what it does, sizes the body to the change so a small PR reads as small, and makes every claim either linked to its evidence or labeled as unchecked. Ends with a scan test over the title and the first lines of Problem and Changes. Not for commit messages (see AGENTS.md, "Commit types") or user-facing product copy (see /writing-user-facing-copy).
Getting Started with Research Superpowers
brycewang-stanford
Introduction to literature search & review skills - systematic paper finding, screening, extraction, and citation traversal
skillnet
zjunlp
Search, download, create, evaluate, and analyze reusable agent skills via SkillNet — the open skill supply chain for AI agents. Use when: (1) Before any multi-step task — search SkillNet for existing skills first, (2) User says "find a skill", "learn this repo/doc", "turn this into a skill", or mentions skillnet, (3) User provides a GitHub URL, PDF, DOCX, PPT, execution logs, or trajectory — create a skill from it, (4) After completing a complex task with non-obvious solutions — create a skill to preserve learnings, (5) User wants to evaluate skill quality, organize/analyze a local skill library, or orchestrate a supported scene. NOT for: single trivial operations (rename variable, fix typo), or tasks with no reusable knowledge.
configure
anthropics
Set up the Telegram channel — save the bot token and review access policy. Use when the user pastes a Telegram bot token, asks to configure Telegram, asks "how do I set this up" or "who can reach me," or wants to check channel status.
configure
anthropics
Set up the Discord channel — save the bot token and review access policy. Use when the user pastes a Discord bot token, asks to configure Discord, asks "how do I set this up" or "who can reach me," or wants to check channel status.
build-mcpb
anthropics
This skill should be used when the user wants to "package an MCP server", "bundle an MCP", "make an MCPB", "ship a local MCP server", "distribute a local MCP", discusses ".mcpb files", mentions bundling a Node or Python runtime with their MCP server, or needs an MCP server that interacts with the local filesystem, desktop apps, or OS and must be installable without the user having Node/Python set up.
receipts
anthropics
Generate a personal Claude Code usage & impact report ("receipts") from this machine's local session transcripts — for justifying Claude Code usage/spend to a manager, self-review, or "what have I been using this for" check-ins. Mines ~/.claude/projects locally (no extra API calls beyond one final write-up), cross-references local git history, and writes a markdown report plus a self-contained HTML receipt to your home directory. Use when the user asks for "receipts", an "impact report", "usage report", wants to "show my Claude Code activity", "prove the value of Claude Code", or runs /receipts.
m5-onboard
anthropics
End-to-end onboarding for a freshly-plugged-in M5Stack ESP32 device (Cardputer, Cardputer-Adv, Core, CoreS3, Stick) — detect on USB, flash UIFlow 2.0 firmware, and install the Claude Buddy MicroPython app bundle. Use whenever the user plugs in or wants to flash/provision/reset an M5Stack or ESP32 board, or says "m5-onboard go".
slide-excellence
brycewang-stanford
Multi-agent slide review (visual, pedagogy, proofreading). Use for comprehensive quality check before milestones.
techdebt
brycewang-stanford
Find and fix technical debt including duplicated code, dead code, outdated patterns, and code smells. Run at the end of sessions to clean up.
workflows:compound
brycewang-stanford
Document a recently solved research problem to compound methodological knowledge
stata-data-cleaning
brycewang-stanford
Clean and transform messy data in Stata with reproducible workflows