Fetch raw API data and generate structured digests locally.
npx skills add https://github.com/serejaris/ris-claude-code --skill api-digest
Please help me install this Agent Skill. Skill: api-digest Source: https://github.com/serejaris/ris-claude-code/tree/main/skills/api-digest Command: npx skills add https://github.com/serejaris/ris-claude-code --skill api-digest
This skill fetches raw data from any API and generates detailed digests locally, avoiding backend LLM calls and reducing costs.
Trigger the skill with a digest request (e.g., 'дайджест' or 'digest'). Then run fetch.sh to retrieve data from the API and generate the digest from the results.
High-intent search queries and answers about installing and using this skill.
To generate API data digests without backend LLM calls, use a local fetch script to retrieve raw API data and parse the JSON output into structured summaries. This local processing avoids backend LLM costs while producing topics, quotes, and contributor lists.
Yes, curl is the required dependency for fetching API data for local summarization. The skill uses a fetch.sh script driven by curl to retrieve raw API data, which is then parsed locally into structured digest output without backend calls.
Summarizing threaded discussions and chat logs locally is best achieved by fetching raw API data and applying local JSON parsing. This generates structured digests featuring topics, key quotes, links, questions, and active contributors without backend processing.
Yes, api-digest works with any API for generating ticket summaries. It requires a local fetch script to retrieve the data and parses the JSON locally to create structured output without relying on backend LLM infrastructure or external processing.
You do not need a backend LLM to analyze API logs and generate structured digests. The skill processes raw JSON data locally to produce detailed summaries, completely avoiding backend LLM calls and reducing associated operational costs.
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