Execute an implementation plan file produced by /draft-plan, /turboplan, or /expand-shell. Runs pre-implementation prep, then runs /implement to execute the steps and finalize once they are all done. Use when the user asks to \"implement plan\", \"implement the plan\", \"execute the plan\", \"run the plan\", \"implement plans/<slug>.md\", \"start implementing the plan\", or starts a fresh session to implement a previously drafted plan.
npx skills add https://github.com/tobihagemann/turbo --skill implement-plan
Execute an implementation plan file.
At the start, use TaskCreate to create a task for each step:
/implement skillDetermine which plan file to implement using these rules in order:
add-image-cache), resolve to .turbo/plans/<slug>.md if that file exists; otherwise fall through to rule 5 before erroring.turbo/plans/*.md. If exactly one plan exists, use it<slug> from the basename (stripping .md) and check .turbo/shells/<slug>.md. If it exists, halt with: "<slug> is a shell that needs expansion first. Run /pick-next-shell to expand and implement it.".turbo/plans/ does not exist but .turbo/plan.md exists, use it/turboplan (for a new task) or /pick-next-shell (for existing shells) and stopIf multiple plans exist and the most-recent choice is non-obvious (e.g., several plans were modified within the same minute), use AskUserQuestion to let the user pick from the candidates.
State the resolved plan path before continuing, then read the file.
Read in full:
/implement SkillRun the /implement skill. The plan file, its file references, and its Verification section are already in conversation context from Step 1.
After /implement completes, set the plan's frontmatter status: to done. If the plan is the legacy .turbo/plan.md without frontmatter, skip this step.
/refine-plan or /draft-plan separately./implement. Restating steps as a turn-level narration counts as inline execution and bypasses the delegation.git commit, git push, or PR creation, halt before Step 3 and ask the user to remove them via /refine-plan.Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take tobihagemann/implement-plan from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.