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This skill helps developersz finf useful COmmon Lisp APIs from Mark Watson's Common Lisp book. Use this skill for accessing LLMs, SPARQL queries
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | cl-book-apis-new |
| description | This skill helps developersz finf useful COmmon Lisp APIs from Mark Watson's Common Lisp book. Use this skill for accessing LLMs, SPARQL queries |
Knowledge of public APIs and how to run code for these Common Lisp libraries by Mark Watson.
All libraries are loaded via Quicklisp after copying to ~/quicklisp/local-projects/:
(ql:quickload :package-name)
Load: (ql:quickload :anthropic)
Deps: uiop, cl-json
Env var: ANTHROPIC_API_KEY
(anthropic:completions text max-tokens) — Send a completion request to Anthropic's API (claude-instant-1 model). Returns generated text string.(anthropic:completions "Answer concisely. Mary is 30 years old and Bob is 25. Who is older?" 12)
Load: (ql:quickload :entities)
Deps: myutils
Data files: Loads linguistic_data/names.{cities,companies,countries,people,products,universities} at compile/load time.
(entities:entity) — Struct with slots: cities, companies, countries, people, products, universities(entities:text->entities words) — Main NER entry point. Accepts a string or vector of word strings. Returns an entity struct with matched names. Checks 1/2/3-word phrases.(entities:entities-cities eo) / entities-companies / entities-countries / entities-people / entities-products / entities-universities — Accessor slots on entity struct.(entities:text->entities "President Bush went to San Diego to meet Ms Jones at Google")
Load: (ql:quickload :gemini)
Deps: uiop, cl-json, alexandria
Env var: GOOGLE_API_KEY
Default model: gemini-3-flash-preview
(gemini:generate prompt &optional model-id) — Generate text from a prompt. Returns text string.(gemini:count-tokens prompt &optional model-id) — Count tokens for a prompt. Returns integer.(gemini:generate-with-search prompt &optional model-id) — Generate with Google Search grounding. Returns text string.(gemini:generate-with-search-and-citations prompt &optional model-id) — Returns (values text citations) where citations is a list of (title . url) cons pairs.(gemini:make-function-declaration name description parameters &optional required-params) — Build a function declaration hash-table for tool use. Parameters is list of (name type description) triples.(gemini:generate-with-tools prompt function-declarations &key model-id google-search-p) — Turn 1: send prompt with tools. Returns (values text function-calls model-content-ht). Function-calls is list of plists (:NAME :ID :ARGS).(gemini:continue-with-function-responses original-prompt model-content-ht function-responses function-declarations &key model-id google-search-p) — Turn 2+: provide function results. Function-responses is list of plists (:NAME :ID :RESPONSE). Returns final text.(gemini:generate "Write a short poem about coding.")
(gemini:generate-with-search "What sci-fi movies are playing at Harkins 16 in Flagstaff today?")
(multiple-value-bind (response sources)
(gemini:generate-with-search-and-citations "Who won the Super Bowl in 2024?")
(format t "Answer: ~a~%Sources: ~a~%" response sources))
Load: (ql:quickload :kbnlp)
Deps: myutils, fasttag, entity-uris
Data files: Loads extensive linguistic data at compile/load time (names, places, companies, products, stop words, category data).
(kbnlp:make-text-object) — Constructor for text struct.(kbnlp:sumarize text-object) — Summarize a text object (note: spelling with one 'm').(kbnlp:text) — Struct with slots: url, title, summary, category-tags, key-words, key-phrases, human-names, place-names, company-names, text, tags.(kbnlp:replace-all string part replacement &key test) — Replace all occurrences of part with replacement in string.find-names — Detect human names in word vector using POS tags + name hash tablesfind-places — Detect place names in word vectorfind-companies — Detect company names in word vectorfind-names-places — Wrapper that finds both names and places in a text objectget-word-list-category — Classify text into categories using word scoringLoad: (ql:quickload :knowledge-base-navigator)
Deps: cl-json, uiop, alexandria
Env var: GEMINI_API_KEY
Model: gemini-3-flash-preview
(knowledge-base-navigator:kbn-ui) — Interactive REPL loop. Enter entity names or descriptive sentences; Gemini extracts entities, shows numbered list; user picks numbers for detailed info.(knowledge-base-navigator:get-gemini-chat-completion user-prompt) — Low-level: send a prompt to Gemini, return text response string.(knowledge-base-navigator:kbn-ui)
;; Then interactively: "Bill Gates Microsoft Seattle"
Load: (ql:quickload :lightpanda)
Deps: cl-json
Binary required: lightpanda headless browser on PATH (or set *lightpanda-binary*)
lightpanda:*lightpanda-binary* — Path to lightpanda binary (default: "lightpanda").(lightpanda:fetch-url url &key log-level obey-robots dump) — Fetch URL via lightpanda headless browser. :dump controls output format: "html" (default), "markdown", "semantic_tree", "semantic_tree_text". Returns JS-rendered content string.(lightpanda:fetch-and-extract-links url) — Fetch URL and return list of href link strings.(lightpanda:demo-fetch url) — Fetch URL, print HTML snippet and discovered links.(lightpanda:fetch-url "https://markwatson.com/")
(lightpanda:fetch-url "https://markwatson.com/" :dump "markdown")
(lightpanda:fetch-and-extract-links "https://markwatson.com/")
Load: (ql:quickload :ollama)
Deps: uiop, cl-json
Server: Requires Ollama running at http://localhost:11434/api/chat
Default model: mistral:v0.3 / tool model: qwen3:1.7b
(ollama:completions starter-text) — Simple completion. Returns text string.(ollama:completions-with-tools starter-text &optional functions) — Completion with tool/function calling. functions is list of registered function name strings. Returns text or function call result.(ollama:summarize some-text) — Summarize text via completions.(ollama:answer-question some-text) — Answer a question via completions.ollama:*model-name* — Default model name (mistral:v0.3)ollama:*tool-model-name* — Tool-calling model name (qwen3:1.7b)ollama:*model-host* — API host URL(ollama::register-tool-function name description parameters handler) — Register a CL function for LLM tool calling.get_weather, calculateOLLAMA_API_KEY)(ollama::cloud-search-agent prompt) — Agent loop using Ollama Cloud with web_search and web_fetch tools. Returns final answer string.gpt-oss:120b-cloud(ollama:completions "Complete the following text: The President went to")
(ollama:summarize "Long text to summarize...")
(ollama:answer-question "Where were the 1992 Olympics held?")
(ollama::completions-with-tools "What's the weather in NY?" '("get_weather"))
Not an ASDF system. Load standalone:
(load "ollama_images/describe-image.lisp")
Deps: cl-base64, cl-json, uiop (quickloaded internally)
Server: Requires Ollama running with a vision model
Default model: qwen3.5:0.8b
Env vars: OLLAMA_MODEL, OLLAMA_HOST (optional overrides)
(describe-image:image-to-text image-paths prompt &key model host) — Send one or more images to Ollama vision model with a text prompt. image-paths can be a single string or list of strings. Returns text string.(describe-image:describe-image-simple image-path) — Convenience: describe a single image with default prompt "What is in this image?".describe-image:*model-name* — Default vision model.describe-image:*ollama-host* — Ollama API endpoint.(describe-image:image-to-text "ticket.png" "Print out the plain text in this image")
(describe-image:image-to-text '("a.png" "b.png") "Compare these two images.")
(describe-image:describe-image-simple "photo.jpg")
Load: (ql:quickload :openai)
Deps: uiop, cl-json, drakma
Env var: OPENAI_KEY
Default model: gpt-5-nano
(openai:completions starter-text &optional functions) — Send completion request. functions is optional list of registered function name strings for tool calling. Returns text string.(openai:summarize some-text) — Summarize text.(openai:answer-question question) — Answer a question concisely.(openai:embeddings text) — Get embeddings using text-embedding-3-small model. Returns embedding vector.(openai:dot-product list1 list2) — Calculate dot product of two embedding vectors.(openai::register-function name description parameters fn) — Register a CL function for tool calling.(openai::openai-function) — Struct: name, description, parameters, func.(openai:completions "Complete the following text: The President went to Congress")
(openai:answer-question "Where were the 1992 Olympics held?")
(openai:embeddings "Hello world")
(openai:dot-product emb1 emb2)
Load: (ql:quickload :sparql)
Deps: uiop, drakma, cl-json, myutils
(sparql:dbpedia query) — Query DBpedia SPARQL endpoint. Returns list of bindings ((var-name . value) ...).(sparql:wikidata query) — Query Wikidata SPARQL endpoint. Returns list of bindings.(sparql:fuseki query &key host port suffix) — Query Fuseki SPARQL endpoint. Default: http://127.0.0.1:3030/news/sparql.(sparql:agraph query &key host port suffix) — Query AllegroGraph SPARQL endpoint with basic auth.(sparql:stardog query &key host port suffix) — Query Stardog SPARQL endpoint with basic auth.(sparql:ask-dbpedia query) — Boolean ASK query to DBpedia. Returns T or NIL.(sparql:sparql-manual) — Print example SPARQL queries.(sparql:dbpedia "select ?s ?p { ?s ?p \"Steve Jobs\"@en }")
(sparql:wikidata "select ?s ?p { ?s ?p \"Bill Gates\"@en }")
(sparql:ask-dbpedia "ASK { ?s ?p \"Steve Jobs\"@en }")
(sparql:fuseki "select ?s ?p ?o { ?s ?p ?o }" :port 3030)
curl via uiop:run-program for HTTP requests (no HTTP client library except openai which also uses drakma).ANTHROPIC_API_KEY, GOOGLE_API_KEY, OPENAI_KEY, GEMINI_API_KEY, OLLAMA_API_KEY (cloud only).myutils package provides shared utilities like tokenize-string and replace-all used by several libraries.*base-pathname* is resolved at compile time relative to source file location.