# AI use cases for Quicksilver (UditAkhourii/quicksilver) Repo: [UditAkhourii/quicksilver](https://github.com/UditAkhourii/quicksilver) | Use cases: 4 | Page: https://dedupedai.com/use-cases/uditakhourii-quicksilver/ Quicksilver is a Claude Code skill that hands bulk yes/no, label, and ranking judgments to Jev, a separate model, so Claude reads less and spends fewer tokens. This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL. - Shortlist the files that handle a concern before Claude reads them: https://dedupedai.com/use-cases/uditakhourii-quicksilver/shortlist-files-by-concern/ - Find the real failures in a long log without reading every line: https://dedupedai.com/use-cases/uditakhourii-quicksilver/triage-long-log-for-failures/ - Sort a batch of tickets or issues into labels in one pass: https://dedupedai.com/use-cases/uditakhourii-quicksilver/route-bulk-items-by-label/ - Find where a feature lives in a large codebase or file: https://dedupedai.com/use-cases/uditakhourii-quicksilver/locate-where-feature-lives/ ## How to shortlist the files that handle a concern before Claude reads them with Quicksilver Repo: [UditAkhourii/quicksilver](https://github.com/UditAkhourii/quicksilver) | Difficulty: Intermediate | Time: 15 minutes | Basis: From the README Ask Jev which files in a big repo match a condition, then give Claude only those paths. **Who it is for:** A developer or security reviewer working in a large repo who needs every file that touches auth, sessions, or another concern. **The problem:** Claude reads every candidate file to decide which ones matter, which fills its context with noise and costs many tokens. **The outcome:** Claude gets a short list of matching file paths with borderline items marked, and the benchmark's codebase discovery task reached 100% F1 with 91% fewer Claude tokens. ### Steps 1. Get a Jev key at console.typesafe.ai. 2. Run `npx github:UditAkhourii/quicksilver` and enter your key when asked. 3. Restart Claude Code. Claude uses the skill on its own for this kind of task. 4. Run `qs filter "Does this file handle user sessions?" src` and replace the question and the folder with your own. (inferred, check the README) 5. Read the returned paths and check every line marked with ? yourself. ### Prompt to paste into your agent ```text Using the repo UditAkhourii/quicksilver, run qs filter with a yes/no question about against . Return the matching file paths and list any borderline items marked with ?. Verify that the output ends with a receipt line showing files scanned and the Jev cost. ``` ### Caveat Look-alike code can produce borderline matches, so Claude or you should review the items marked with ? before acting on them. Risk, credentials: The skill never sends .env files, private keys, certificates, or credentials files, but any other file it reads goes to TypeSafe's API, so keep sensitive source out of the target folder. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/uditakhourii-quicksilver/shortlist-files-by-concern/ ## How to find the real failures in a long log without reading every line with Quicksilver Repo: [UditAkhourii/quicksilver](https://github.com/UditAkhourii/quicksilver) | Difficulty: Intermediate | Time: 15 minutes | Basis: From the README Have Jev mark which log lines report a failure, then pass Claude the collapsed result. **Who it is for:** An engineer or on-call agent facing a log file with thousands of lines who needs the real errors fast. **The problem:** Reading a 3,000-line log line by line costs many Claude tokens and most lines are noise. **The outcome:** Claude receives the failing lines with repeated patterns collapsed into line-number ranges; the benchmark's noisy service log task reached 100% F1 with 95% fewer Claude tokens. ### Steps 1. Get a Jev key at console.typesafe.ai and run `npx github:UditAkhourii/quicksilver`. 2. Restart Claude Code so it can use the skill. 3. Run `qs filter "Does this line report a failure?" app.log --lines` and replace app.log with your log file. (inferred, check the README) 4. Check the receipt line at the end of the output for lines scanned, matches, and borderline items. 5. Ask Claude to explain the matched line ranges, and review any ? lines by hand. ### Prompt to paste into your agent ```text Using the repo UditAkhourii/quicksilver, run qs filter with the question "Does this line report a failure?" and the --lines flag on . Summarize the matched line ranges and their likely causes. Verify that the receipt line reports the number of lines scanned. ``` ### Caveat Logs whose labels encode unwritten policy, like the BGL supercomputer log in the benchmark, scored poorly, so test on a sample before trusting the results. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/uditakhourii-quicksilver/triage-long-log-for-failures/ ## How to sort a batch of tickets or issues into labels in one pass with Quicksilver Repo: [UditAkhourii/quicksilver](https://github.com/UditAkhourii/quicksilver) | Difficulty: Intermediate | Time: 15 minutes | Basis: From the README Send a JSONL file of items to Jev with a closed label set and get back id lists per label. **Who it is for:** A support lead or maintainer with a backlog of tickets or issues who needs each item assigned to one category. **The problem:** Having Claude read and label hundreds of items one by one consumes a large share of the context window and takes a long time. **The outcome:** Items come back as id lists per label; on the Banking77 intent routing task the benchmark reached 99% accuracy against Claude's 100% with 82% fewer Claude tokens, in about 6 seconds instead of 60. ### Steps 1. Get a Jev key at console.typesafe.ai and run `npx github:UditAkhourii/quicksilver`. 2. Restart Claude Code. 3. Export your items to a JSONL file, one item per line. 4. Run `qs classify --labels "bug,feature,question" --items issues.jsonl` and replace the labels and file name with yours. 5. Spot-check a sample of results against your own labels before applying them in bulk. ### Prompt to paste into your agent ```text Using the repo UditAkhourii/quicksilver, run qs classify with a closed label set against .jsonl. Return the id list for each label and count how many items landed in the catch-all label. Verify that the total of ids across labels equals the number of items in the file. ``` ### Caveat Subjective or house-style labels scored lower than clear ones, for example commit types scored 76% against Claude's 83%, so review those results more closely. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/uditakhourii-quicksilver/route-bulk-items-by-label/ ## How to find where a feature lives in a large codebase or file with Quicksilver Repo: [UditAkhourii/quicksilver](https://github.com/UditAkhourii/quicksilver) | Difficulty: Intermediate | Time: 15 minutes | Basis: From the README Rank files by relevance to a question, or find the lines in a huge file that match it. **Who it is for:** A developer joining an unfamiliar codebase or a large module who needs to find the code behind a feature. **The problem:** Claude spends many tokens opening candidate files to figure out which one implements the feature. **The outcome:** Claude gets the top ranked files or matching line numbers; the benchmark's where-is-X task hit the right answer in the top 3 for 10 of 10 questions with 91% fewer Claude tokens. ### Steps 1. Get a Jev key at console.typesafe.ai and run `npx github:UditAkhourii/quicksilver`. 2. Restart Claude Code. 3. Run `qs rank "where do we issue refunds?" src --top 5` and replace the question and folder with yours. (inferred, check the README) 4. For one very large file, run `qs find "the retry backoff logic" huge_module.py` to get matching lines. (inferred, check the README) 5. Open the top results in Claude and confirm the match before editing anything. ### Prompt to paste into your agent ```text Using the repo UditAkhourii/quicksilver, run qs rank with the question "" against with --top 5. Return the ranked file paths and say which one most likely implements the feature. Verify that the output lists no more than five files. ``` ### Caveat Quicksilver does not replace grep for exact text searches, so use plain search when you know the exact string you need. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/uditakhourii-quicksilver/locate-where-feature-lives/