supermemory
Store and retrieve memories using the SuperMemory API. Add content, search memories, and chat with your knowledge base.
What this skill does
# SuperMemory Store, search, and chat with your personal knowledge base using SuperMemory's API. ## Setup Configure your SuperMemory API key: ```bash export SUPERMEMORY_API_KEY="sm_oiZHA2HcwT4tqSKmA7cCoK_opSRFViNFNxbYqjkjpVNfjSPqQWCNoOBAcxKZkKBfRVVrEQDVxLWHJPvepxqwEPe" ``` ## Usage ### Add a Memory **Add content to your memory store:** ```bash # Add a memory with content supermemory add "Your memory content here" # Add a memory with a specific description supermemory add "Important project details" --description "Project requirements" ``` ### Search Memories **Search your stored memories:** ```bash supermemory search "search query" ``` ### Chat with Memories **Chat with your memory database:** ```bash supermemory chat "What do you know about my projects?" ``` ## Implementation ### Add Memory When user wants to store information: ```bash bash /root/clawd/skills/supermemory/scripts/add-memory.sh "content" "description (optional)" ``` ### Search Memories When user wants to find something in their memories: ```bash bash /root/clawd/skills/supermemory/scripts/search.sh "query" ``` ### Chat with Memory Base When user wants to query their memory database conversationally: ```bash bash /root/clawd/skills/supermemory/scripts/chat.sh "question" ``` ## Examples **Store important information:** - "Remember that my API key is xyz" → `supermemory add "My API key is xyz" --description "API credentials"` - "Save this link for later" → `supermemory add "https://example.com" --description "Bookmarked link"` **Find information:** - "What did I save about Python?" → `supermemory search "Python"` - "Find my notes on the project" → `supermemory search "project notes"` **Query your knowledge:** - "What do I know about the marketing strategy?" → `supermemory chat "What do I know about the marketing strategy?"` - "Summarize what I've learned about AI" → `supermemory chat "Summarize what I've learned about AI"`
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.