[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-letta-screenshot":3,"mdc--orxhin-key":34,"related-org-letta-screenshot":1854,"related-repo-letta-screenshot":2015},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":12,"stars":23,"repoUrl":24,"updatedAt":25,"license":26,"forks":27,"topics":28,"repo":29,"sourceUrl":32,"mdContent":33},"screenshot","capture system and desktop screenshots","Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},"letta","Letta","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fletta.png","letta-ai",[13,17,20],{"name":14,"slug":15,"type":16},"Images","images","tag",{"name":18,"slug":19,"type":16},"Desktop","desktop",{"name":21,"slug":22,"type":16},"Screenshots","screenshots",127,"https:\u002F\u002Fgithub.com\u002Fletta-ai\u002Fskills","2026-07-13T06:24:46.485866",null,20,[],{"repoUrl":24,"stars":23,"forks":27,"topics":30,"description":31},[],"A shared repository for skills. Intended to be used with Letta Code, Claude Code, Codex CLI, and other agents that support skills.","https:\u002F\u002Fgithub.com\u002Fletta-ai\u002Fskills\u002Ftree\u002FHEAD\u002Ftools\u002Fscreenshot","---\nname: \"screenshot\"\ndescription: \"Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed.\"\n---\n\n\n# Screenshot Capture\n\nFollow these save-location rules every time:\n\n1) If the user specifies a path, save there.\n2) If the user asks for a screenshot without a path, save to the OS default screenshot location.\n3) If the agent needs a screenshot for its own inspection, save to the temp directory.\n\n## Tool priority\n\n- Prefer tool-specific screenshot capabilities when available (for example: a Figma MCP\u002Fskill for Figma files, or Playwright\u002Fagent-browser tools for browsers and Electron apps).\n- Use this skill when explicitly asked, for whole-system desktop captures, or when a tool-specific capture cannot get what you need.\n- Otherwise, treat this skill as the default for desktop apps without a better-integrated capture tool.\n\n## macOS permission preflight (reduce repeated prompts)\n\nOn macOS, run the preflight helper once before window\u002Fapp capture. It checks\nScreen Recording permission, explains why it is needed, and requests it in one\nplace.\n\nThe helpers route Swift's module cache to `$TMPDIR\u002Fletta-swift-module-cache`\nto avoid extra sandbox module-cache prompts.\n\n```bash\nbash \u003Cpath-to-skill>\u002Fscripts\u002Fensure_macos_permissions.sh\n```\n\nTo avoid multiple sandbox approval prompts, combine preflight + capture in one\ncommand when possible:\n\n```bash\nbash \u003Cpath-to-skill>\u002Fscripts\u002Fensure_macos_permissions.sh && \\\npython3 \u003Cpath-to-skill>\u002Fscripts\u002Ftake_screenshot.py --app \"Letta Code\"\n```\n\nFor agent inspection runs, keep the output in temp:\n\n```bash\nbash \u003Cpath-to-skill>\u002Fscripts\u002Fensure_macos_permissions.sh && \\\npython3 \u003Cpath-to-skill>\u002Fscripts\u002Ftake_screenshot.py --app \"\u003CApp>\" --mode temp\n```\n\nUse the bundled scripts to avoid re-deriving OS-specific commands.\n\n## macOS and Linux (Python helper)\n\nRun the helper from the repo root:\n\n```bash\npython3 \u003Cpath-to-skill>\u002Fscripts\u002Ftake_screenshot.py\n```\n\nCommon patterns:\n\n- Default location (user asked for \"a screenshot\"):\n\n```bash\npython3 \u003Cpath-to-skill>\u002Fscripts\u002Ftake_screenshot.py\n```\n\n- Temp location (agent visual check):\n\n```bash\npython3 \u003Cpath-to-skill>\u002Fscripts\u002Ftake_screenshot.py --mode temp\n```\n\n- Explicit location (user provided a path or filename):\n\n```bash\npython3 \u003Cpath-to-skill>\u002Fscripts\u002Ftake_screenshot.py --path output\u002Fscreen.png\n```\n\n- App\u002Fwindow capture by app name (macOS only; substring match is OK; captures all matching windows):\n\n```bash\npython3 \u003Cpath-to-skill>\u002Fscripts\u002Ftake_screenshot.py --app \"Letta Code\"\n```\n\n- Specific window title within an app (macOS only):\n\n```bash\npython3 \u003Cpath-to-skill>\u002Fscripts\u002Ftake_screenshot.py --app \"Letta Code\" --window-name \"Settings\"\n```\n\n- List matching window ids before capturing (macOS only):\n\n```bash\npython3 \u003Cpath-to-skill>\u002Fscripts\u002Ftake_screenshot.py --list-windows --app \"Letta Code\"\n```\n\n- Pixel region (x,y,w,h):\n\n```bash\npython3 \u003Cpath-to-skill>\u002Fscripts\u002Ftake_screenshot.py --mode temp --region 100,200,800,600\n```\n\n- Focused\u002Factive window (captures only the frontmost window; use `--app` to capture all windows):\n\n```bash\npython3 \u003Cpath-to-skill>\u002Fscripts\u002Ftake_screenshot.py --mode temp --active-window\n```\n\n- Specific window id (use --list-windows on macOS to discover ids):\n\n```bash\npython3 \u003Cpath-to-skill>\u002Fscripts\u002Ftake_screenshot.py --window-id 12345\n```\n\nThe script prints one path per capture. When multiple windows or displays match, it prints multiple paths (one per line) and adds suffixes like `-w\u003CwindowId>` or `-d\u003Cdisplay>`. View each path sequentially with the image viewer tool, and only manipulate images if needed or requested.\n\n### Workflow examples\n\n- \"Take a look at \u003CApp> and tell me what you see\": capture to temp, then view each printed path in order.\n\n```bash\nbash \u003Cpath-to-skill>\u002Fscripts\u002Fensure_macos_permissions.sh && \\\npython3 \u003Cpath-to-skill>\u002Fscripts\u002Ftake_screenshot.py --app \"\u003CApp>\" --mode temp\n```\n\n- \"The design from Figma is not matching what is implemented\": use a Figma MCP\u002Fskill to capture the design first, then capture the running app with this skill (typically to temp) and compare the raw screenshots before any manipulation.\n\n### Multi-display behavior\n\n- On macOS, full-screen captures save one file per display when multiple monitors are connected.\n- On Linux and Windows, full-screen captures use the virtual desktop (all monitors in one image); use `--region` to isolate a single display when needed.\n\n### Linux prerequisites and selection logic\n\nThe helper automatically selects the first available tool:\n\n1) `scrot`\n2) `gnome-screenshot`\n3) ImageMagick `import`\n\nIf none are available, ask the user to install one of them and retry.\n\nCoordinate regions require `scrot` or ImageMagick `import`.\n\n`--app`, `--window-name`, and `--list-windows` are macOS-only. On Linux, use\n`--active-window` or provide `--window-id` when available.\n\n## Windows (PowerShell helper)\n\nRun the PowerShell helper:\n\n```powershell\npowershell -ExecutionPolicy Bypass -File \u003Cpath-to-skill>\u002Fscripts\u002Ftake_screenshot.ps1\n```\n\nCommon patterns:\n\n- Default location:\n\n```powershell\npowershell -ExecutionPolicy Bypass -File \u003Cpath-to-skill>\u002Fscripts\u002Ftake_screenshot.ps1\n```\n\n- Temp location (agent visual check):\n\n```powershell\npowershell -ExecutionPolicy Bypass -File \u003Cpath-to-skill>\u002Fscripts\u002Ftake_screenshot.ps1 -Mode temp\n```\n\n- Explicit path:\n\n```powershell\npowershell -ExecutionPolicy Bypass -File \u003Cpath-to-skill>\u002Fscripts\u002Ftake_screenshot.ps1 -Path \"C:\\Temp\\screen.png\"\n```\n\n- Pixel region (x,y,w,h):\n\n```powershell\npowershell -ExecutionPolicy Bypass -File \u003Cpath-to-skill>\u002Fscripts\u002Ftake_screenshot.ps1 -Mode temp -Region 100,200,800,600\n```\n\n- Active window (ask the user to focus it first):\n\n```powershell\npowershell -ExecutionPolicy Bypass -File \u003Cpath-to-skill>\u002Fscripts\u002Ftake_screenshot.ps1 -Mode temp -ActiveWindow\n```\n\n- Specific window handle (only when provided):\n\n```powershell\npowershell -ExecutionPolicy Bypass -File \u003Cpath-to-skill>\u002Fscripts\u002Ftake_screenshot.ps1 -WindowHandle 123456\n```\n\n## Direct OS commands (fallbacks)\n\nUse these when you cannot run the helpers.\n\n### macOS\n\n- Full screen to a specific path:\n\n```bash\nscreencapture -x output\u002Fscreen.png\n```\n\n- Pixel region:\n\n```bash\nscreencapture -x -R100,200,800,600 output\u002Fregion.png\n```\n\n- Specific window id:\n\n```bash\nscreencapture -x -l12345 output\u002Fwindow.png\n```\n\n- Interactive selection or window pick:\n\n```bash\nscreencapture -x -i output\u002Finteractive.png\n```\n\n### Linux\n\n- Full screen:\n\n```bash\nscrot output\u002Fscreen.png\n```\n\n```bash\ngnome-screenshot -f output\u002Fscreen.png\n```\n\n```bash\nimport -window root output\u002Fscreen.png\n```\n\n- Pixel region:\n\n```bash\nscrot -a 100,200,800,600 output\u002Fregion.png\n```\n\n```bash\nimport -window root -crop 800x600+100+200 output\u002Fregion.png\n```\n\n- Active window:\n\n```bash\nscrot -u output\u002Fwindow.png\n```\n\n```bash\ngnome-screenshot -w -f output\u002Fwindow.png\n```\n\n## Error handling\n\n- On macOS, run `bash \u003Cpath-to-skill>\u002Fscripts\u002Fensure_macos_permissions.sh` first to request Screen Recording in one place.\n- If you see \"screen capture checks are blocked in the sandbox\", \"could not create image from display\", or Swift `ModuleCache` permission errors in a sandboxed run, rerun the command with escalated permissions.\n- If macOS app\u002Fwindow capture returns no matches, run `--list-windows --app \"AppName\"` and retry with `--window-id`, and make sure the app is visible on screen.\n- If Linux region\u002Fwindow capture fails, check tool availability with `command -v scrot`, `command -v gnome-screenshot`, and `command -v import`.\n- If saving to the OS default location fails with permission errors in a sandbox, rerun the command with escalated permissions.\n- Always report the saved file path in the response.\n",{"data":35,"body":36},{"name":4,"description":6},{"type":37,"children":38},"root",[39,48,54,74,81,100,106,111,125,175,180,275,280,377,382,388,393,428,433,441,474,482,524,532,576,584,634,642,710,718,773,781,834,850,897,905,950,971,978,992,1084,1092,1098,1119,1125,1130,1162,1167,1186,1228,1234,1239,1255,1259,1267,1280,1287,1301,1309,1323,1330,1344,1352,1366,1374,1388,1394,1399,1405,1413,1437,1445,1473,1481,1509,1517,1545,1551,1559,1577,1600,1628,1635,1663,1699,1707,1730,1757,1763,1848],{"type":40,"tag":41,"props":42,"children":44},"element","h1",{"id":43},"screenshot-capture",[45],{"type":46,"value":47},"text","Screenshot Capture",{"type":40,"tag":49,"props":50,"children":51},"p",{},[52],{"type":46,"value":53},"Follow these save-location rules every 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Load this skill whenever a user asks for a capability you don't already have — image generation, social media, email, calendar, finance, DevOps, search, browser automation, etc.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1862,1865,1868],{"name":1863,"slug":1864,"type":16},"Agents","agents",{"name":1866,"slug":1867,"type":16},"Automation","automation",{"name":1869,"slug":1870,"type":16},"GitHub","github",2831,"https:\u002F\u002Fgithub.com\u002Fletta-ai\u002Fletta-code","2026-07-13T06:22:58.45767",{"slug":1875,"name":1876,"fn":1877,"description":1878,"org":1879,"tags":1880,"stars":1871,"repoUrl":1872,"updatedAt":1888},"context-doctor","Context Doctor","repair system prompt and memory degradation","Identify and repair degradation in system prompt, external memory, and skills preventing you from following instructions or remembering information as well as you should.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1881,1882,1885],{"name":1863,"slug":1864,"type":16},{"name":1883,"slug":1884,"type":16},"AI Context","ai-context",{"name":1886,"slug":1887,"type":16},"Debugging","debugging","2026-07-13T06:22:50.151002",{"slug":1890,"name":1890,"fn":1891,"description":1892,"org":1893,"tags":1894,"stars":1871,"repoUrl":1872,"updatedAt":1900},"converting-mcps-to-skills","connect MCP servers to create skills","Connect to MCP (Model Context Protocol) servers and create skills for repeated use. Load when a user wants to use an MCP server, connect to external tools via MCP, or when they mention MCP, model context protocol, or specific MCP servers.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1895,1896,1897],{"name":1863,"slug":1864,"type":16},{"name":1866,"slug":1867,"type":16},{"name":1898,"slug":1899,"type":16},"MCP","mcp","2026-07-13T06:23:37.646079",{"slug":1902,"name":1902,"fn":1903,"description":1904,"org":1905,"tags":1906,"stars":1871,"repoUrl":1872,"updatedAt":1912},"creating-mods","create and edit Letta Code mods","Creates and edits trusted local Letta Code mods, including tools, slash commands, local-only model providers, lifecycle\u002Fturn events, scoped conversation helpers, panels, and capability-gated behavior. Use when asked to make a mod, add an agent-callable tool, add a slash command, add a local provider\u002Fmodel adapter, transform turns, react to app events, or add lightweight mod UI outside the dedicated \u002Fstatusline flow.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1907,1908,1909],{"name":1863,"slug":1864,"type":16},{"name":1866,"slug":1867,"type":16},{"name":1910,"slug":1911,"type":16},"Coding","coding","2026-07-23T05:42:38.133565",{"slug":1914,"name":1914,"fn":1915,"description":1916,"org":1917,"tags":1918,"stars":1871,"repoUrl":1872,"updatedAt":1926},"creating-skills","create and update agent skills","Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Letta Code's capabilities with specialized knowledge, workflows, or tool integrations.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1919,1920,1923],{"name":1863,"slug":1864,"type":16},{"name":1921,"slug":1922,"type":16},"Documentation","documentation",{"name":1924,"slug":1925,"type":16},"Plugin Development","plugin-development","2026-07-13T06:22:56.998659",{"slug":1928,"name":1928,"fn":1929,"description":1930,"org":1931,"tags":1932,"stars":1871,"repoUrl":1872,"updatedAt":1938},"customizing-commands","create and manage Letta slash commands","Creates, edits, and enables Letta Code mod-provided slash commands. Use when the user asks to add a custom \u002Fcommand, slash command, command shortcut, scoped conversation-backed command, or command-driven panel behavior.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1933,1934,1935],{"name":1863,"slug":1864,"type":16},{"name":1866,"slug":1867,"type":16},{"name":1936,"slug":1937,"type":16},"CLI","cli","2026-07-13T06:23:18.266798",{"slug":1940,"name":1940,"fn":1941,"description":1942,"org":1943,"tags":1944,"stars":1871,"repoUrl":1872,"updatedAt":1949},"customizing-statusline","customize Letta Code statusline mods","Creates, edits, and migrates Letta Code statusline mods. Use when handling the \u002Fstatusline command or continuing work started by \u002Fstatusline.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1945,1946],{"name":1936,"slug":1937,"type":16},{"name":1947,"slug":1948,"type":16},"Engineering","engineering","2026-07-13T06:23:27.465985",{"slug":1951,"name":1951,"fn":1952,"description":1953,"org":1954,"tags":1955,"stars":1871,"repoUrl":1872,"updatedAt":1961},"dispatching-coding-agents","dispatch stateless coding agents","Dispatch stateless coding agents (Claude Code or Codex) via Bash. Use when you're stuck, need a second opinion, or need parallel research on a hard problem. They have no memory — you must provide all context.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1956,1957,1958],{"name":1863,"slug":1864,"type":16},{"name":1910,"slug":1911,"type":16},{"name":1959,"slug":1960,"type":16},"Multi-Agent","multi-agent","2026-07-26T05:46:56.388845",{"slug":1963,"name":1963,"fn":1964,"description":1965,"org":1966,"tags":1967,"stars":1871,"repoUrl":1872,"updatedAt":1975},"editing-letta-code-desktop-preferences","edit Letta Code Desktop preferences","Edits Letta Code Desktop (LCD) preferences by safely reading and updating ~\u002F.letta\u002Fdesktop_preferences.json. Use only when the user asks to change current Desktop\u002FLCD settings such as theme, default working directory, remote access preference, or remote environment name via the preferences JSON.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1968,1971,1972],{"name":1969,"slug":1970,"type":16},"Configuration","configuration",{"name":18,"slug":19,"type":16},{"name":1973,"slug":1974,"type":16},"Themes","themes","2026-07-13T06:23:41.407811",{"slug":1977,"name":1977,"fn":1978,"description":1979,"org":1980,"tags":1981,"stars":1871,"repoUrl":1872,"updatedAt":1986},"finding-agents","locate and manage agents on server","Find other agents on the same server. Use when the user asks about other agents, wants to migrate memory from another agent, or needs to find an agent by name or tags.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1982,1983],{"name":1863,"slug":1864,"type":16},{"name":1984,"slug":1985,"type":16},"Management","management","2026-07-16T06:02:17.297841",{"slug":1988,"name":1988,"fn":1989,"description":1990,"org":1991,"tags":1992,"stars":1871,"repoUrl":1872,"updatedAt":1998},"generating-mod-envs","generate Letta mod learning environments","Generates and reviews mod learning env JSON files for Letta Code local mods. Use when asked to teach, learn, or optimize a mod behavior; create, draft, validate, improve, or explain envs for `\u002Fmods learn --env`; or design evaluation scenarios, memory fixtures, requiredResultMarkers, requiredTraceMarkers, negative controls, and candidate diversity hints.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1993,1994,1997],{"name":1863,"slug":1864,"type":16},{"name":1995,"slug":1996,"type":16},"AI Infrastructure","ai-infrastructure",{"name":1969,"slug":1970,"type":16},"2026-07-13T06:23:08.838181",{"slug":2000,"name":2000,"fn":2001,"description":2002,"org":2003,"tags":2004,"stars":1871,"repoUrl":1872,"updatedAt":2013},"image-generation","generate images from text prompts","Generate images from text prompts (and optionally edit\u002Fremix input images). Use when the user asks to create, generate, draw, render, or edit an image, illustration, logo, icon, diagram, or photo.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[2005,2008,2011],{"name":2006,"slug":2007,"type":16},"Creative","creative",{"name":2009,"slug":2010,"type":16},"Graphics","graphics",{"name":2012,"slug":2000,"type":16},"Image Generation","2026-07-13T06:23:06.189403",69,{"items":2016,"total":2128},[2017,2031,2046,2065,2078,2099,2109],{"slug":2018,"name":2018,"fn":2019,"description":2020,"org":2021,"tags":2022,"stars":23,"repoUrl":24,"updatedAt":2030},"1password","manage secrets with 1Password CLI","Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading\u002Finjecting\u002Frunning secrets via op.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[2023,2026,2027],{"name":2024,"slug":2025,"type":16},"Authentication","authentication",{"name":1936,"slug":1937,"type":16},{"name":2028,"slug":2029,"type":16},"Security","security","2026-07-13T06:24:39.504387",{"slug":2032,"name":2032,"fn":2033,"description":2034,"org":2035,"tags":2036,"stars":23,"repoUrl":24,"updatedAt":2045},"agent-slack","automate Slack messaging and workflows","Slack automation CLI — read\u002Fsend\u002Fsearch messages, browse threads and channels, manage channels, download attachments, look up users, and run workflows.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[2037,2038,2039,2042],{"name":1866,"slug":1867,"type":16},{"name":1936,"slug":1937,"type":16},{"name":2040,"slug":2041,"type":16},"Messaging","messaging",{"name":2043,"slug":2044,"type":16},"Slack","slack","2026-07-13T06:23:51.908511",{"slug":2047,"name":2047,"fn":2048,"description":2049,"org":2050,"tags":2051,"stars":23,"repoUrl":24,"updatedAt":2064},"ai-news","fetch and summarize AI news","Fetch and summarize recent AI news from curated RSS feeds (Hugging Face, VentureBeat, The Verge, OpenAI, Anthropic, DeepMind, etc.) and YouTube channels (Yannic Kilcher, Two Minute Papers, AI Explained, etc.). Also fetches full transcripts for specific YouTube videos. Use when the user asks about recent AI news, what's happened in AI lately, summaries of AI research or product announcements, or wants a digest of what's going on in the AI space.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[2052,2055,2058,2061],{"name":2053,"slug":2054,"type":16},"Communications","communications",{"name":2056,"slug":2057,"type":16},"LLM","llm",{"name":2059,"slug":2060,"type":16},"Research","research",{"name":2062,"slug":2063,"type":16},"Summarization","summarization","2026-07-13T06:24:20.520223",{"slug":2066,"name":2066,"fn":2067,"description":2068,"org":2069,"tags":2070,"stars":23,"repoUrl":24,"updatedAt":2077},"creating-letta-code-channels","build and debug Letta Code channels","Builds and debugs Letta Code channels, including first-party channel adapters and dynamic user channel plugins under ~\u002F.letta\u002Fchannels. Use when adding Telegram, WhatsApp, Bluesky, Slack, Discord, or custom channel support; testing channel routing, pairing, MessageChannel, runtime dependencies, or channel plugin manifests.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[2071,2072,2075,2076],{"name":1863,"slug":1864,"type":16},{"name":2073,"slug":2074,"type":16},"API Development","api-development",{"name":2040,"slug":2041,"type":16},{"name":2043,"slug":2044,"type":16},"2026-07-13T06:25:55.843495",{"slug":2079,"name":2079,"fn":2080,"description":2081,"org":2082,"tags":2083,"stars":23,"repoUrl":24,"updatedAt":2098},"datadog","query Datadog observability data","Query Datadog observability data (logs, metrics, monitors, dashboards, hosts) via direct API. Use when investigating production issues, checking monitors, searching logs, or accessing Datadog data.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[2084,2086,2089,2092,2095],{"name":2085,"slug":2079,"type":16},"Datadog",{"name":2087,"slug":2088,"type":16},"Logs","logs",{"name":2090,"slug":2091,"type":16},"Metrics","metrics",{"name":2093,"slug":2094,"type":16},"Monitoring","monitoring",{"name":2096,"slug":2097,"type":16},"Observability","observability","2026-07-13T06:24:27.990605",{"slug":2100,"name":2100,"fn":2101,"description":2102,"org":2103,"tags":2104,"stars":23,"repoUrl":24,"updatedAt":2108},"discord","automate Discord server and channel tasks","Discord automation CLI — send\u002Fread\u002Fsearch messages, manage channels and servers, react, create threads, pin messages, and look up users.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[2105,2106,2107],{"name":1866,"slug":1867,"type":16},{"name":1936,"slug":1937,"type":16},{"name":2040,"slug":2041,"type":16},"2026-07-13T06:24:26.62387",{"slug":2110,"name":2110,"fn":2111,"description":2112,"org":2113,"tags":2114,"stars":23,"repoUrl":24,"updatedAt":2127},"doc","create and edit Word documents","Use when the task involves reading, creating, or editing `.docx` documents, especially when formatting or layout fidelity matters; prefer `python-docx` plus the bundled `scripts\u002Frender_docx.py` for visual checks.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[2115,2118,2121,2124],{"name":2116,"slug":2117,"type":16},"Documents","documents",{"name":2119,"slug":2120,"type":16},"DOCX","docx",{"name":2122,"slug":2123,"type":16},"Office","office",{"name":2125,"slug":2126,"type":16},"Word","word","2026-07-13T06:23:44.299568",45]