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Found 10,556 Skills
Onboard a new repository or a repository with scattered documents into the easysdd system. Two paths are automatically determined: the empty repository path (no spec-like documents or easysdd/ directory in the repository) builds the skeleton from scratch; the migration path (the repository already has scattered documents or partial easysdd/ structure) first generates an audit report + migration mapping plan, which is confirmed by the user one by one before implementation. This skill only does two things: "build the skeleton" and "organize existing documents". After the skeleton is built, all sub-workflows can run directly. Trigger scenarios: the user says "Use easysdd in this project", "Build easysdd structure", "Initialize easysdd", "Migrate to easysdd".
Kommo integration. Manage data, records, and automate workflows. Use when the user wants to interact with Kommo data.
Expensify integration. Manage data, records, and automate workflows. Use when the user wants to interact with Expensify data.
Npm integration. Manage data, records, and automate workflows. Use when the user wants to interact with Npm data.
SerwerSMS.pl integration. Manage data, records, and automate workflows. Use when the user wants to interact with SerwerSMS.pl data.
Mozilla Observatory integration. Manage data, records, and automate workflows. Use when the user wants to interact with Mozilla Observatory data.
Termius integration. Manage data, records, and automate workflows. Use when the user wants to interact with Termius data.
Scan a Cargo workspace or package monorepo and refresh per-member `CLAUDE.md` files plus a thin root `CLAUDE.md`. User-only maintenance workflow for keeping workspace-local AI context accurate after refactors, member additions, export changes, or major architectural shifts.
Amazon EventBridge integration. Manage data, records, and automate workflows. Use when the user wants to interact with Amazon EventBridge data.
Amazon Location Service integration. Manage data, records, and automate workflows. Use when the user wants to interact with Amazon Location Service data.
Phase 3 of the feature workflow – Complete the acceptance closed-loop. Four tasks: 1. Check layer by layer against {slug}-design.md to verify if the implementation deviates from the plan; fix any deviations on the spot instead of just "noting them" in the report. 2. Incorporate this feature into the project's overall architecture documentation. 3. If this feature changes the user story or boundaries of the corresponding requirement, update the requirement doc accordingly. 4. If this feature originated from a roadmap item, change the status of the corresponding entry in roadmap items.yaml to done and sync it with the main document. Finally, produce a {slug}-acceptance.md as the closed-loop proof for the entire workflow. Prerequisite: cs-feat-impl is completed. Trigger scenarios: User says "The feature is done, let's accept it", "Do the final check", "Prepare for merge", "Generate the acceptance report".
Analyze binary exploitation techniques including buffer overflows and ROP chains using pwntools Python library. Covers checksec analysis, gadget discovery with ROPgadget, and exploit development for CTF and authorized security assessments.