Runs repeatable AI work as checked, budgeted workflow files. The agent captures a repeated task as a .nika.yaml DAG, audits cost/permits/schema before a single token is spent, and runs it with tamper-evident traces.
npx skills add https://github.com/davepoon/buildwithclaude --skill nika
Nika turns repeatable AI work into files: one .nika.yaml, four verbs,
audited before it runs. You author the file; nika check is the
oracle; the human runs it.
nika examples list · nika examples show <slug> ·
nika new --from <template> <file>.nika.yaml
nika: v1 +workflow: <kebab-id> + tasks:. Pick models and builtins from
the embedded catalogs — nika catalog (providers · models ·
capabilities · which env var each needs) and nika tools (the
nika:* builtins an invoke reaches without MCP); before a run,
nika inspect <file> shows the anatomy: tasks · waves · the cost
floor.
nika check <file> (exit 0 = clean · 2 = findings),then nika check --native-strict <file> — it fails on any
native-first hint (an exec: a builtin covers).
and fix. Unknown code? nika explain NIKA-XXXX.
not pass nika check** — and pass --native-strict too, unless
every remaining exec: is in the exec ledger (below).
nika run <file>. Preview offline with--model mock/echo; run locally with --model ollama/<model>.
Inputs ride --var key=value (repeatable · unknown keys refused);
a run paused on a nika:prompt resumes with
nika run <file> --resume <trace> --answer <task>=<value>
(confirm gates take booleans: --answer approve=true).
nika test <file> --update writes<file>.golden.json from an offline mock run; nika test <file>
replays and compares — deterministic, zero keys.
journal to .nika/traces/ — nika trace verify <trace> checks the
chain (tamper-evidence), nika trace show <trace> reads the card.
Cite the trace, never a memory of the run.
nika check prints the cost ceiling BEFORE any token: ≤ $X is aceiling · ≥ $X FLOOR means at least one task is unbounded — name
the reason (a missing max_tokens, an uncataloged model, an
expression fan-out), never round it to $0.
ollama/…) is unpriced compute, not « free » —say "unpriced", never "$0" or "free".
nika run <file> --max-cost-usd <n>blocks BEFORE the call that would cross the cap.
nika explain <file> narrates all of this (waves · cost · touches ·how to run) — use it before handing a workflow to a human.
infer: — an LLM call (prompt, schema? for typed output,max_tokens?)
exec: — a shell command (command, capture: text|structured) ·last resort: run the native-first interrogation first (below)
invoke: — a builtin or MCP tool (tool, args) · HTTP fetch istool: "nika:fetch", a tool, not a verb
agent: — a bounded multi-turn loop (prompt, tools allowlist,max_turns, max_tokens_total)
The order is invoke: nika:* → invoke: mcp:<server>/<tool> →
exec:. Before writing ANY exec:, answer in your head:
nika tools --json is the catalog.HTTP (curl/wget/helper fetch) → nika:fetch · uploads →
multipart: · site crawls → traverse: · file plumbing
(cat/tee/cp/mkdir) → nika:read/nika:write (create_dirs: true) ·
JSON shaping (jq/sed) → nika:jq (or an output: binding) ·
in-place edits → nika:edit · image/speech provider calls →
nika:image_generate/nika:tts_generate · image styling
(ImageMagick convert / PIL filters / dither scripts) →
nika:image_fx (deterministic — same input+args = same bytes,
the artifact sha256 joins the trace chain).
server, never a helper script.
exec: is legitimate(build tools · git · a product CLI with no MCP surface yet) and
goes in the ledger.
Never write a helper script (node bin/helper.mjs …) that wraps
HTTP/files/JSON — that is native-first/005, the exact failure class
this law exists for.
Every surviving exec: gets a row in the workflow's header comment:
# EXEC LEDGER ·
# | task | command | why no native path | unlock that removes it |
--native-strict + a complete ledger = a reviewable workflow.
${{ tasks.<id>.output }} · ${{ vars.x }} ·${{ env.KEY }} · ${{ secrets.X }} (never inline a credential).
depends_on: [<id>].
provider/name (ollama/llama3.2:3b local-first ·mock/echo offline preview).
timeout: "7m") — give localproviders ≥300s: thinking models routinely think past 30s.
nika check --infer-permits <file> printsthe tightest permits: block — paste it in (default-deny from then on).
infer: a schema:; addadditionalProperties: false for a deterministic shape.
headers: { x-api-key: "${{ secrets.KEY }}" } (masked ·declared in secrets: with its egress: sink) — never exec: curl
for the sake of a header.
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 davepoon/nika 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.