qiita
Qiita API for Japanese tech articles. Use when user mentions "Qiita", "Japanese tech blog", or asks about Qiita posts.
What this skill does
## How to Use ### Commands The script supports 5 modules: `item`, `user`, `tag`, `comment`, `auth` ### 1. Item - Articles #### Search Articles ```bash scripts/qiita.sh item search --query "React hooks" scripts/qiita.sh item search --query "tag:Python" --per-page 20 scripts/qiita.sh item search --query "user:username title:tutorial" ``` | Parameter | Required | Default | Description | |-----------|----------|---------|-------------| | --query | Yes | - | Search query (supports tag:, user:, title:, body:, stocks:) | | --page | No | 1 | Page number | | --per-page | No | 20 | Items per page (max 100) | #### Get Article ```bash scripts/qiita.sh item get --id "article_id" ``` #### Get My Articles ```bash scripts/qiita.sh item mine --per-page 10 ``` #### Post Article ```bash scripts/qiita.sh item post --title "Article Title" --body "# Content" --tags "Python,Tutorial" scripts/qiita.sh item post --title "Draft Post" --body-file ./article.md --tags "React" --private ``` | Parameter | Required | Default | Description | |-----------|----------|---------|-------------| | --title | Yes | - | Article title | | --body | Yes* | - | Article body in Markdown | | --body-file | Yes* | - | Read body from file (alternative to --body) | | --tags | Yes | - | Comma-separated tags (max 5) | | --private | No | false | Create as private article | #### Update Article ```bash scripts/qiita.sh item update --id "article_id" --title "New Title" --body "Updated content" ``` #### Delete Article ```bash scripts/qiita.sh item delete --id "article_id" ``` ### 2. User - User Information #### Get Current User ```bash scripts/qiita.sh user me ``` #### Get User Profile ```bash scripts/qiita.sh user get --id "username" ``` #### Get User's Articles ```bash scripts/qiita.sh user items --id "username" --per-page 10 ``` #### Get User's Stocks ```bash scripts/qiita.sh user stocks --id "username" ``` #### Get User's Followers/Following ```bash scripts/qiita.sh user followers --id "username" scripts/qiita.sh user following --id "username" ``` ### 3. Tag - Tags #### List Popular Tags ```bash scripts/qiita.sh tag list --per-page 20 scripts/qiita.sh tag list --sort count ``` | Parameter | Required | Default | Description | |-----------|----------|---------|-------------| | --page | No | 1 | Page number | | --per-page | No | 20 | Tags per page | | --sort | No | count | Sort by: count or name | #### Get Tag Info ```bash scripts/qiita.sh tag get --id "Python" ``` #### Get Articles by Tag ```bash scripts/qiita.sh tag items --id "JavaScript" --per-page 10 ``` ### 4. Comment - Comments #### Get Article Comments ```bash scripts/qiita.sh comment list --item-id "article_id" ``` #### Post Comment ```bash scripts/qiita.sh comment post --item-id "article_id" --body "Great article!" ``` #### Delete Comment ```bash scripts/qiita.sh comment delete --id "comment_id" ``` ### 5. Auth - Authentication #### Verify Token ```bash scripts/qiita.sh auth verify ``` Returns current user info if token is valid. ## Search Query Syntax Qiita search supports special operators: | Operator | Example | Description | |----------|---------|-------------| | tag: | `tag:Python` | Filter by tag | | user: | `user:qiita` | Filter by author | | title: | `title:tutorial` | Search in title | | body: | `body:example` | Search in body | | stocks: | `stocks:>100` | Filter by stock count | | created: | `created:>2024-01-01` | Filter by date | Combine operators: `tag:React title:hooks stocks:>50` ## Examples ### Search and Read Articles ```bash # Search for Python tutorials scripts/qiita.sh item search --query "tag:Python title:tutorial" --per-page 5 # Get specific article scripts/qiita.sh item get --id "abc123def456" ``` ### Publish an Article ```bash # Post from command line scripts/qiita.sh item post --title "Getting Started with Docker" --body "# Introduction Docker is a containerization platform..." --tags "Docker,DevOps,Tutorial" # Post from file scripts/qiita.sh item post --title "My Technical Article" --body-file ./my-article.md --tags "Programming" ``` ### Explore Tags and Users ```bash # Get trending tags scripts/qiita.sh tag list --per-page 10 --sort count # Get user's articles scripts/qiita.sh user items --id "famous_author" --per-page 5 ``` ## Guidelines 1. **Rate Limits**: 1000 requests/hour (authenticated), 60/hour (unauthenticated) 2. **Tags**: Maximum 5 tags per article 3. **Markdown**: Article body supports GitHub-flavored Markdown 4. **Private Articles**: Use `--private` flag for drafts or private content 5. **Search**: Use operators for precise search results ## API Reference - Documentation: https://qiita.com/api/v2/docs - Access Tokens: https://qiita.com/settings/tokens/new
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.