[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M75NJS43RBEWBFS8EKKVRJSF":3,"skill-same:01M75NJS43RBEWBFS8EKKVRJSF":47},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":24,"commitSha":25,"skillDirectory":26,"forksCount":27,"repositoryHtmlUrl":28,"repositoryHomepageUrl":6,"ownerHtmlUrl":29,"ownerBlogUrl":30,"ownerDescription":31,"updatedAt":32,"install":33,"resources":46},"01M75NJS43RBEWBFS8EKKVRJSF","deep-current",null,"Persistent research thread manager with a CLI for tracking topics, notes, sources, and findings. Pair with a nightly cron job to build a personal research digest over time. The shipped code is a local Python CLI for thread management — research is performed by the agent using its standard web_search and web_fetch tools.","javimosch\u002Fopen-claw-skills","javimosch","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F12900508?v=4","01M6D3F2AS6PV75ET9PZ1QGP8J","Javier Leandro Arancibia","01M75B8NCTAJG9WH5YNZH7C3D8",0,"MIT","https:\u002F\u002Fgithub.com\u002Fjavimosch\u002Fopen-claw-skills\u002Fblob\u002Fmain\u002Fskills\u002Fmeimakes\u002Fdeep-current\u002FSKILL.md",[],[],"2026-11-12 13:55:43",false,"---\nname: deep-current\ndescription: Persistent research thread manager with a CLI for tracking topics, notes, sources, and findings. Pair with a nightly cron job to build a personal research digest over time. The shipped code is a local Python CLI for thread management — research is performed by the agent using its standard web_search and web_fetch tools.\n---\n\n# Deep Current\n\nA research thread manager for agents. Track topics you care about, accumulate notes and sources over time, and pair with a scheduled cron job to produce regular research digests.\n\n## Architecture\n\nThis skill ships **one component**: a Python CLI (`scripts\u002Fdeep-current.py`) that manages research threads as local JSON data. It handles:\n- Creating, listing, and updating research threads\n- Storing notes, sources, and findings per thread\n- Thread lifecycle (active\u002Fpaused\u002Fresolved) and decay\n\n**What this skill does NOT ship:** web search, link following, or report generation. Those capabilities come from the agent's built-in tools (`web_search`, `web_fetch`). The cron job prompt instructs the agent to use those tools to research threads, then write findings to a report file.\n\nIn short: the CLI manages *what* to research. The agent's existing tools do the *how*.\n\n## How It Works\n\n1. **Threads** — Long-running research topics stored in `deep-current\u002Fcurrents.json`\n2. **Nightly job** — A cron job tells the agent which threads to research (agent uses its own `web_search`\u002F`web_fetch` tools)\n3. **Reports** — Each night's findings are written to `deep-current-reports\u002FYYYY-MM-DD.md` (one file per run)\n4. **Thread CLI** — Manage threads between sessions (add, note, source, finding, status)\n\n## Setup\n\n### 1. Create data directory\n\n```bash\nmkdir -p deep-current\n```\n\n### 2. Initialize currents.json\n\n```json\n{\n  \"threads\": []\n}\n```\n\n### 3. Schedule the cron job\n\nCreate an isolated cron job that runs nightly. The agent will use its own `web_search` and `web_fetch` tools to research each thread, then use the CLI to record findings. Example prompt:\n\n```\nYou are running a Deep Current research session.\n\n1. Run `python3 scripts\u002Fdeep-current.py list` to see all active threads.\n2. Run `python3 scripts\u002Fdeep-current.py covered` to see topics and URLs already covered in recent reports. AVOID repeating these.\n3. Pick TWO threads based on current relevance — check recent context to decide.\n4. For each thread, use web_search and web_fetch to research the topic. Follow interesting links and cross-reference claims. Find NEW angles, developments, or sources not already covered.\n5. Update each thread with notes\u002Fsources\u002Ffindings using the deep-current.py CLI.\n\n## Output Format\nCreate a new file in deep-current-reports\u002F named YYYY-MM-DD.md:\n\n# Deep Current — [tonight's date]\n## [catchy title for thread 1]\n[findings with inline source links]\n## [catchy title for thread 2]\n[findings with inline source links]\n\nKeep it dense and interesting. No fluff. Link to sources. Flag anything actionable.\n```\n\nRecommended: run at 1-3am, use a capable model, 30min timeout.\n\n## Thread CLI\n\nManage research threads with `scripts\u002Fdeep-current.py`:\n\n| Command | Purpose |\n|---------|---------|\n| `list` | Show all threads with status |\n| `show \u003Cid>` | Full thread details |\n| `add \u003Ctitle>` | Create new thread |\n| `note \u003Cid> \u003Ctext>` | Add dated research note |\n| `source \u003Cid> \u003Curl> [desc]` | Add source\u002Freference |\n| `finding \u003Cid> \u003Ctext>` | Record key finding |\n| `status \u003Cid> \u003Cactive\\|paused\\|resolved>` | Change thread status |\n| `digest` | Summary of all active threads |\n| `decay` | Prune stale threads (>90 days inactive + no recent notes) |\n| `covered [days]` | Show topics & URLs from recent reports (default 14 days) to avoid duplication |\n\nThread IDs are auto-generated slugs from the title. Prefix matching works for short IDs.\n\n## Report Format\n\nEach run creates a standalone file in `deep-current-reports\u002FYYYY-MM-DD.md`. Each report contains:\n- Date header\n- 2+ research threads with catchy titles\n- Dense findings with inline source links\n- Actionable flags for anything the user should act on\n\nOne file per run — easy to browse, search, or archive.\n\n## Research Quality Guidelines\n\nWhen running a research session (nightly or manual), the agent should:\n- Use `web_search` to find sources, `web_fetch` to read them\n- Cross-reference claims across multiple sources\n- Cite sources inline with markdown links\n- Flag actionable items explicitly\n- Write for a smart reader — dense, no filler\n- Use catchy thread titles (this is morning reading, make it engaging)\n- Distinguish speculation from sourced facts\n","# Deep Current\n\nA research thread manager for agents. Track topics you care about, accumulate notes and sources over time, and pair with a scheduled cron job to produce regular research digests.\n\n## Architecture\n\nThis skill ships **one component**: a Python CLI (`scripts\u002Fdeep-current.py`) that manages research threads as local JSON data. It handles:\n- Creating, listing, and updating research threads\n- Storing notes, sources, and findings per thread\n- Thread lifecycle (active\u002Fpaused\u002Fresolved) and decay\n\n**What this skill does NOT ship:** web search, link following, or report generation. Those capabilities come from the agent's built-in tools (`web_search`, `web_fetch`). The cron job prompt instructs the agent to use those tools to research threads, then write findings to a report file.\n\nIn short: the CLI manages *what* to research. The agent's existing tools do the *how*.\n\n## How It Works\n\n1. **Threads** — Long-running research topics stored in `deep-current\u002Fcurrents.json`\n2. **Nightly job** — A cron job tells the agent which threads to research (agent uses its own `web_search`\u002F`web_fetch` tools)\n3. **Reports** — Each night's findings are written to `deep-current-reports\u002FYYYY-MM-DD.md` (one file per run)\n4. **Thread CLI** — Manage threads between sessions (add, note, source, finding, status)\n\n## Setup\n\n### 1. Create data directory\n\n```bash\nmkdir -p deep-current\n```\n\n### 2. Initialize currents.json\n\n```json\n{\n  \"threads\": []\n}\n```\n\n### 3. Schedule the cron job\n\nCreate an isolated cron job that runs nightly. The agent will use its own `web_search` and `web_fetch` tools to research each thread, then use the CLI to record findings. Example prompt:\n\n```\nYou are running a Deep Current research session.\n\n1. Run `python3 scripts\u002Fdeep-current.py list` to see all active threads.\n2. Run `python3 scripts\u002Fdeep-current.py covered` to see topics and URLs already covered in recent reports. AVOID repeating these.\n3. Pick TWO threads based on current relevance — check recent context to decide.\n4. For each thread, use web_search and web_fetch to research the topic. Follow interesting links and cross-reference claims. Find NEW angles, developments, or sources not already covered.\n5. Update each thread with notes\u002Fsources\u002Ffindings using the deep-current.py CLI.\n\n## Output Format\nCreate a new file in deep-current-reports\u002F named YYYY-MM-DD.md:\n\n# Deep Current — [tonight's date]\n## [catchy title for thread 1]\n[findings with inline source links]\n## [catchy title for thread 2]\n[findings with inline source links]\n\nKeep it dense and interesting. No fluff. Link to sources. Flag anything actionable.\n```\n\nRecommended: run at 1-3am, use a capable model, 30min timeout.\n\n## Thread CLI\n\nManage research threads with `scripts\u002Fdeep-current.py`:\n\n| Command | Purpose |\n|---------|---------|\n| `list` | Show all threads with status |\n| `show \u003Cid>` | Full thread details |\n| `add \u003Ctitle>` | Create new thread |\n| `note \u003Cid> \u003Ctext>` | Add dated research note |\n| `source \u003Cid> \u003Curl> [desc]` | Add source\u002Freference |\n| `finding \u003Cid> \u003Ctext>` | Record key finding |\n| `status \u003Cid> \u003Cactive\\|paused\\|resolved>` | Change thread status |\n| `digest` | Summary of all active threads |\n| `decay` | Prune stale threads (>90 days inactive + no recent notes) |\n| `covered [days]` | Show topics & URLs from recent reports (default 14 days) to avoid duplication |\n\nThread IDs are auto-generated slugs from the title. Prefix matching works for short IDs.\n\n## Report Format\n\nEach run creates a standalone file in `deep-current-reports\u002FYYYY-MM-DD.md`. Each report contains:\n- Date header\n- 2+ research threads with catchy titles\n- Dense findings with inline source links\n- Actionable flags for anything the user should act on\n\nOne file per run — easy to browse, search, or archive.\n\n## Research Quality Guidelines\n\nWhen running a research session (nightly or manual), the agent should:\n- Use `web_search` to find sources, `web_fetch` to read them\n- Cross-reference claims across multiple sources\n- Cite sources inline with markdown links\n- Flag actionable items explicitly\n- Write for a smart reader — dense, no filler\n- Use catchy thread titles (this is morning reading, make it engaging)\n- Distinguish speculation from sourced facts\n",{"name":5,"description":7},"main","f9d3fe7cf9ac8f1ea63a0d96e98e1f510a3814db","skills\u002Fmeimakes\u002Fdeep-current",1,"https:\u002F\u002Fgithub.com\u002Fjavimosch\u002Fopen-claw-skills","https:\u002F\u002Fgithub.com\u002Fjavimosch","intrane.fr","Building robust, open-source infrastructure for the commons. AI-leveraged, self-hosted, built to last.","2026-06-07 03:34:58",{"source":8,"skillName":5,"commands":34,"prompt":44,"zipAvailable":45},[35,38,41],{"tool":36,"command":37},"npx","npx skills add javimosch\u002Fopen-claw-skills --skill deep-current",{"tool":39,"command":40},"bunx","bunx skills add javimosch\u002Fopen-claw-skills --skill deep-current",{"tool":42,"command":43},"pnpm","pnpm dlx skills add javimosch\u002Fopen-claw-skills --skill deep-current","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fjavimosch\u002Fopen-claw-skills\u002Fblob\u002Fmain\u002Fskills\u002Fmeimakes\u002Fdeep-current\u002FSKILL.md",true,[],[48,56,63,70,77,84],{"skillNo":49,"name":50,"nameZh":6,"description":51,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":52,"categories":53,"keywords":54,"publishedAt":55},"01M778GGXG2VQ0YF31W2MKGMQZ","crowd-prompting","A marketplace where AI agents improve prompts, system instructions, tool descriptions, and other text-based content with domain expertise from real-world operations — and earn tokens for valuable contributions.","https:\u002F\u002Fgithub.com\u002Fjavimosch\u002Fopen-claw-skills\u002Fblob\u002Fmain\u002Fskills\u002Fzzadrian\u002Fcrowd-prompting\u002FSKILL.md",[],[],"2026-11-15 14:19:17",{"skillNo":57,"name":58,"nameZh":6,"description":59,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":60,"categories":61,"keywords":62,"publishedAt":55},"01M778G7BH8SBJ9FJ6C3G7CB1K","ceaser","Interact with the Ceaser privacy protocol on Base L2 using the ceaser-mcp MCP tools. This skill uses the ceaser-mcp npm package for ALL operations -- shield, unshield, note management, and protocol queries. All ceaser tool calls use CLI subcommands (npx -y ceaser-mcp \u003Csubcommand>). Ceaser is a privacy-preserving ETH wrapper using Noir\u002FUltraHonk zero-knowledge proofs on Base L2 (chain ID 8453).","https:\u002F\u002Fgithub.com\u002Fjavimosch\u002Fopen-claw-skills\u002Fblob\u002Fmain\u002Fskills\u002Fzyra-v21\u002Fceaser\u002FSKILL.md",[],[],{"skillNo":64,"name":65,"nameZh":6,"description":66,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":67,"categories":68,"keywords":69,"publishedAt":55},"01M778FYCJQZWFKKX5FYMK3S47","ceaser-send","Fully automated private ETH transfer via Ceaser Protocol on Base L2 using the ceaser-mcp MCP tools. This skill uses the ceaser-mcp npm package for ALL operations -- all ceaser tool calls use CLI subcommands (npx -y ceaser-mcp \u003Csubcommand>). WARNING -- creates observable on-chain links between user wallet and hot wallet (see Privacy Warning). Generates an ephemeral hot wallet with BIP-39 mnemonic recovery, user funds it, agent signs and broadcasts the Shield TX automatically. Exactly one manual step required (funding the hot wallet with ETH). Uses Noir\u002FUltraHonk zero-knowledge proofs.","https:\u002F\u002Fgithub.com\u002Fjavimosch\u002Fopen-claw-skills\u002Fblob\u002Fmain\u002Fskills\u002Fzyra-v21\u002Fceaser-send\u002FSKILL.md",[],[],{"skillNo":71,"name":72,"nameZh":6,"description":73,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":74,"categories":75,"keywords":76,"publishedAt":55},"01M778FQQNSEYA3HJKZBPQ4M9Z","dilemm-ai","Compete in DilemmAI, the prisoner's dilemma AI arena at dilemm.ai. Use when an OpenClaw agent wants to create an account, design and submit strategy prompts for their bot, enter matchmaking, analyze historical matches and leaderboards, and iterate on bot strategy. Requires headless browser automation (no API available yet).","https:\u002F\u002Fgithub.com\u002Fjavimosch\u002Fopen-claw-skills\u002Fblob\u002Fmain\u002Fskills\u002Fzyori\u002Fdilemm-ai\u002FSKILL.md",[],[],{"skillNo":78,"name":79,"nameZh":6,"description":80,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":81,"categories":82,"keywords":83,"publishedAt":55},"01M778FGVZX7QA2TF9BFMM37FY","moldium","Post and manage content on the Moldium blog platform. Triggered by \"post to Moldium\", \"write a blog post\", \"publish an article\", etc.","https:\u002F\u002Fgithub.com\u002Fjavimosch\u002Fopen-claw-skills\u002Fblob\u002Fmain\u002Fskills\u002Fzyom45\u002Fmoldium\u002FSKILL.md",[],[],{"skillNo":85,"name":86,"nameZh":6,"description":87,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":88,"categories":89,"keywords":90,"publishedAt":55},"01M778F88D8PQ9MQ0KNW2TJ8ZH","arxiv-paper-reviews","Interact with arXiv Crawler API to fetch papers, read reviews, submit comments, search papers, and import papers. Use when working with arXiv papers, fetching paper lists by date\u002Fcategory\u002Finterest, viewing paper details with comments, submitting paper reviews, searching papers by title, or importing papers from arXiv URLs via API at http:\u002F\u002Fweakaccept.top:8000\u002F.","https:\u002F\u002Fgithub.com\u002Fjavimosch\u002Fopen-claw-skills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Farxiv-paper-reviews\u002FSKILL.md",[],[]]