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claude-code

AutoSkill visit / day / tainan

General SOP for common requests related to payment, ecompensa, companies.

install
source · Clone the upstream repo
git clone https://github.com/ECNU-ICALK/AutoSkill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/ECNU-ICALK/AutoSkill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/visit-day-tainan" ~/.claude/skills/ecnu-icalk-autoskill-visit-day-tainan && rm -rf "$T"
manifest: SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/visit-day-tainan/SKILL.md
source content

visit / day / tainan

General SOP for common requests related to payment, ecompensa, companies.

Prompt

Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>):

  1. Offline OpenAI-format conversation source.
  2. Title: cf953c4204c9eef558ce8beb44f68f96.json#conv_1
  3. Use the user questions below as the PRIMARY extraction evidence.
  4. Use the full conversation below as SECONDARY context reference.
  5. In the full conversation section, assistant/model replies are reference-only and not skill evidence.
  6. Primary User Questions (main evidence):
  7. multilateral netting algorithm to clear payments
  8. multilateral netting algorithm python or java
  9. privacy-preserving netting algorithm
  10. algorithm to reduce debts between companies

For each step, include: action, checks, and failure rollback/fallback plan. Output format: for each step number, provide status/result and what to do next.

Triggers

  • Use when the user asks for a process or checklist.
  • Use when you want to reuse a previously mentioned method/SOP.

Examples

Example 1

Input:

Break this into best-practice, executable steps.