القائمة
This skill helps developersz finf useful COmmon Lisp APIs from Mark Watson's Common Lisp book. Use this skill for accessing LLMs, SPARQL queries
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| 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.