https-deeplearning-ai

@https-deeplearning-ai source repo

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Feature Spec 2 · https-deeplearning-ai
Kicks off a new AgentClinic feature by finding the next incomplete phase in specs/roadmap.md, creating a git branch, interviewing the user about scope/decisions/context, and writing a dated spec directory under specs/ containing plan.md, requirements.md, and validation.md. Trigger when the user says "feature spec", "next phase", "start the next feature", or invokes /feature-spec.

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Changelog · https-deeplearning-ai bundle
Maintains CHANGELOG.md in the project root using git commit history. Use when the user invokes /changelog, asks to "update the changelog", "generate a changelog", or wants to record what changed before merging a branch. Creates the file from scratch if it doesn't exist (all commits grouped by date); otherwise appends only commits newer than the last recorded date.

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Feature Spec · https-deeplearning-ai
Kicks off a new feature by finding the next incomplete phase in specs/roadmap.md, creating a git branch, interviewing the user about scope/decisions/context, and writing a dated spec directory under specs/ containing plan.md, requirements.md, and validation.md. Trigger when the user says "feature spec", "next phase", "start the next feature", or invokes /feature-spec.

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New Course · https-deeplearning-ai
Adds a new course to the spec-build-lab. Use this skill ANY time the user wants to register, scaffold, set up, add, create, init, or start tracking a NAMED COURSE in this repo — including phrasings like "scaffold a new course called X", "set up a course folder for X", "make a new course called X", "add the X course", "init the X course", "let's start tracking the X course", "I want to add a new course", "/new-course X", or any user message naming a course they want to begin. This skill copies templates/course/ to courses/<name>/ and nothing else; it does NOT read materials, write spec.md, or run a build. If the user asks anything about an EXISTING course, do NOT use this skill. Always run from the repo root.

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Generate Spec · https-deeplearning-ai bundle
Produces spec.md for a course in the spec-build-lab by reading the course's materials and writing a build-ready specification. Use this skill ANY time the user asks to generate, write, produce, build, regenerate, create, or run the spec for a course — including phrasings like "generate the spec", "write spec.md", "produce spec.md", "make a spec from this course", "turn the materials into a spec", "build the spec out of materials/", "regenerate spec.md", "run the spec generation", "I've added the notebooks, please create the spec", or "/generate-spec". Reads every file under materials/notebooks/ and materials/transcripts/ and follows references/spec-generation-guide.md. Writes spec.md in the current working directory. Must run from inside a course folder (courses/<name>/). Do NOT use this skill for editing an existing spec.md or for writing product specs unrelated to a course.

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Prepare Build · https-deeplearning-ai
Prepares a new build run for a course in the spec-build-lab — allocates the run folders, snapshots the spec into a frozen eval copy and a working copy, drops a session breadcrumb, and moves into the build folder. Does NOT do the building itself; that's the user + agent's subsequent work in builds/run-NN/. Use this skill ANY time the user signals intent to begin building an app from spec.md — including phrasings like "prepare a build", "set up a build", "start a new build", "begin the build", "kick off the build", "kick off run-02", "let's build the app", "let's build it", "build the X app from the spec", "implement the spec", "I'm ready, let's build", "let's do another build", "/prepare-build", or simply launching into coding work inside a course folder that has a spec.md. INVOKE PROACTIVELY — treat any clear build intent as the trigger. Do NOT use this skill to run an existing build, build a docker image, or build features in unrelated projects.

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Promote To Guide · https-deeplearning-ai bundle
Runs a promotion pass in the spec-build-lab — triages a course spec's hand edits and filed observations, promotes the universal ones into the spec-generation guide, validates the amended guide with clean-room regenerations, and optionally re-baselines the course spec. Use this skill ANY time the user wants spec improvements carried into the guide or future courses — including phrasings like "promote these spec edits", "make the guide learn this", "run a guide pass", "evolve the guide", "the next guide pass", "implement the residuals from issue

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Extract Build Log · https-deeplearning-ai bundle
Extracts the build conversation for a recorded run in the spec-build-lab and writes it to evals/<run>/session-log.md. Use this skill ANY time the user wants to capture, save, snapshot, extract, export, or render the conversation for a specific build run — including phrasings like "extract the build log", "save the conversation for run-02", "snapshot run-02", "export the build log", "render the session log", "log this build", "produce the session log for run-NN", or "/extract-build-log run-NN". Reads the transcript recorded by Claude Code (located via the .session breadcrumb at evals/<run>/.session) and slices it between an opening bookend (the /prepare-build announcement) and a closing bookend (a fuzzy diagram/structure phrase by default, or a user-supplied --until pattern). Idempotent — re-runnable with different bookends. Requires an explicit run-NN; if none is given, list the runs in builds/ and ASK which one — never default. Do NOT use this skill to evaluate the run — that's /eval-spec-vs-build or /eval-m

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Eval Spec Vs Build · https-deeplearning-ai
Scores how faithfully a recorded build run followed its spec.md, in the spec-build-lab. Use this skill ANY time the user asks to evaluate, score, check, judge, assess, or compare a specific build run AGAINST THE SPEC — including phrasings like "evaluate run-02 against the spec", "score run-02 against the spec", "did the build follow the spec", "did run-02 implement the spec", "spec fidelity check on run-NN", "how closely did run-02 follow spec.md", "run a spec-vs-build eval", "evaluate the spec adherence of the latest run", or "/eval-spec-vs-build run-NN". Reads the per-run snapshot evals/<run>/spec.md (NOT the live spec.md) and the contents of builds/<run>/, then writes evals/<run>/spec-vs-build.md. Requires an explicit run-NN; if none is given, list the runs in builds/ and ASK which one — never default. Do NOT use this skill to evaluate against course materials — that's /eval-materials-vs-build, a different reference and different question.

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Ingest Course Repo · https-deeplearning-ai bundle
Adds a course repo's notebooks and helper modules to a course's materials/ in the spec-build-lab, rendered into materials/notebooks/from-repo/<course>-context.md. Use this skill ANY time the user wants to pull course code out of a git repo — including phrasings like "ingest the course repo", "pull the notebooks from this repo", "here's the course repo", "add the course code to materials", "get the notebooks from git", or "/ingest-course-repo <url>". Takes a course-scoped repo URL: a GitHub tree URL pointing at one course folder, a plain SSH/HTTPS repo URL, or a local path. It is an OPTIONAL supplement to the manual material download, never a replacement — it adds the course's real code and helper.py on top, and NEVER produces transcripts. Must run from inside a course folder (courses/<name>/). Do NOT use this skill to write spec.md — that's /generate-spec.

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Eval Materials Vs Build · https-deeplearning-ai
Scores how faithfully a recorded build run aligned with the course materials, in the spec-build-lab. Use this skill ANY time the user asks to evaluate, score, check, judge, or compare a specific build run AGAINST THE COURSE — including phrasings like "evaluate run-02 against the materials", "score run-02 against the course", "is run-02 faithful to the course", "did the build match the course", "course alignment check on run-NN", "how does run-02 compare to the notebooks and transcripts", "is the build aligned with what the course taught", "run a materials-vs-build eval", or "/eval-materials-vs-build run-NN". Reads materials/notebooks/, materials/transcripts/, and builds/<run>/, then writes evals/<run>/materials-vs-build.md. Requires an explicit run-NN; if none is given, list the runs in builds/ and ASK which one — never default. Do NOT use this skill to evaluate against spec.md — that's /eval-spec-vs-build, a different reference and different question.

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Analyzing Marketing Campaign · https-deeplearning-ai bundle
Analyze weekly marketing campaign performance data across channels. Use when analyzing multi-channel digital marketing data to calculate funnel metrics (CTR, CVR) and compare to benchmarks, compute cost and revenue efficiency metrics (ROAS, CPA, Net Profit), or get budget reallocation recommendations based on performance rules.

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Analyzing Marketing Campaign 2 · https-deeplearning-ai
Analyze weekly marketing campaign performance data across channels. Use when analyzing multi-channel digital marketing data to calculate funnel metrics (CTR, CVR) and compare to benchmarks, compute cost and revenue efficiency metrics (ROAS, CPA, Net Profit), or get budget reallocation recommendations based on performance rules.

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Craftedwell Brand · https-deeplearning-ai
CraftedWell brand guidelines for presentations and documents. Use this skill whenever creating or styling documents (docx, pdf) or presentations (pptx) for CraftedWell. Apply warm, artisanal aesthetic with chocolate/caramel color palette, Georgia headings, and Arial body text.

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Adding CLI Command · https-deeplearning-ai
Provides Typer templates, handles registration, and ensures consistency. ALWAYS use this skill when adding or modifying CLI commands. Use when user requests to add/create/implement/build/write a new command (e.g., "add edit command", "create search feature") OR update/modify/change/edit an existing command.

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Generating CLI Tests · https-deeplearning-ai
Generate pytest tests for Typer CLI commands. Includes fixtures (temp_storage, sample_data), CliRunner patterns, confirmation handling (y/n/--force), and edge case coverage. Use when user asks to "write tests for", "test my CLI", "add test coverage", or any CLI + test request.

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Reviewing CLI Command · https-deeplearning-ai
Provides checklist for reviewing Typer CLI command implementations. Covers structure, Annotated syntax, error handling, exit codes, display module usage, destructive action patterns, and help text conventions. Use when user asks to review/check/verify a CLI command, wants feedback on implementation, or asks if a command follows best practices.

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Learning A Tool · https-deeplearning-ai
Create learning paths for programming tools, and define what information should be researched to create learning guides. Use when user asks to learn, understand, or get started with any programming tool, library, or framework.

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18 published skills