CSS Print
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing stylesheets, component styles, and responsive behavior related to Include a print stylesheet.
Printing Press CLI for Kie. An agent skill from mvanhorn/printing-press-library.
$ npx skills add mvanhorn/printing-press-library --skill pp-kie -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mvanhorn/printing-press-library pp-kie --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .claude/skills && cp -r skills-src/library/ai/kie .claude/skills/pp-kie && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "pp-kie" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/library/ai/kie into .claude/skills/pp-kie/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-kie", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mvanhorn/printing-press-library/tree/main/library/ai/kieType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mvanhorn/printing-press-library --skill pp-kie -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mvanhorn/printing-press-library pp-kie --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .agents/skills && cp -r skills-src/library/ai/kie .agents/skills/pp-kie && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pp-kie" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/library/ai/kie into .agents/skills/pp-kie/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-kie", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mvanhorn/printing-press-library --skill pp-kie -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mvanhorn/printing-press-library pp-kie --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/library/ai/kie .cursor/skills/pp-kie && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "pp-kie" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/library/ai/kie into .cursor/skills/pp-kie/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-kie", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mvanhorn/printing-press-library.git --path library/ai/kie--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mvanhorn/printing-press-library --skill pp-kie -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mvanhorn/printing-press-library pp-kie --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/library/ai/kie .gemini/skills/pp-kie && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "pp-kie" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/library/ai/kie into .gemini/skills/pp-kie/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-kie", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mvanhorn/printing-press-library pp-kieInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mvanhorn/printing-press-library --skill pp-kie -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .github/skills && cp -r skills-src/library/ai/kie .github/skills/pp-kie && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "pp-kie" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/library/ai/kie into .github/skills/pp-kie/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-kie", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mvanhorn/printing-press-library --skill pp-kie -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mvanhorn/printing-press-library pp-kie --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/library/ai/kie .opencode/skills/pp-kie && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "pp-kie" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/library/ai/kie into .opencode/skills/pp-kie/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-kie", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
pp-kiePrinting Press CLI for Kie. An agent skill from mvanhorn/printing-press-library.
Pp Kie is an agent skill from mvanhorn/printing-press-library. Printing Press CLI for Kie. Unified API for Kie.ai's AI generation platform: image, video, music, and chat models, plus account and file utilities.
Its SKILL.md is about 7.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 309 other files, including scripts (for example `.golangci.yml`, `.goreleaser.yaml` and `.manuscripts/20260803T075619Z-899a6d3a/proofs/phase5-acceptance.json`).
The repository describes itself as: Official library of CLIs generated by the CLI Printing Press. Endorsed, tested, and community-contributed. The licence is Apache-2.0.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit d9a1696. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadBashFrom allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/, which the agent can run.
Shell commands in SKILL.md call:
claudenpxFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Pp Kie loads about 7.9k tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 3,477 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, BashAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from mvanhorn/printing-press-library at commit d9a1696, republished under its Apache-2.0 licence (© mvanhorn). 3,477 words, ~7,894 tokens.
.claude/skills/pp-kie/SKILL.md (or your agent's skills folder). This skill also uses 304 other files; get the full folder from GitHub.This skill drives the kie-pp-cli binary. You must verify the CLI is installed before invoking any command from this skill. If it is missing, install it first:
$HOME/.local/bin on macOS/Linux and %LOCALAPPDATA%\Programs\PrintingPress\bin on Windows:npx -y @mvanhorn/printing-press-library install kie --cli-onlykie-pp-cli --version$PATH for the agent/runtime that will invoke this skill.If the npx install fails before this CLI has a public-library category, install Node or use the category-specific Go fallback after publish.
If --version reports "command not found" after install, the runtime cannot see the binary directory on $PATH. Do not proceed with skill commands until verification succeeds.
Unified API for Kie.ai's AI generation platform: image, video, music, and chat models, plus account and file utilities. Async generation endpoints return a taskId; poll the matching record-info/get-details endpoint (or use a callBackUrl) to retrieve results.
aleph — Manage aleph
kie-pp-cli aleph generate-video — Using Runway Aleph model for video-to-video conversion to create dynamic AI-generated videos ## Overview Transformkie-pp-cli aleph get-video-details — Retrieving comprehensive information about Runway Alpeh video generation tasks ## Overview Retrieve detailedchat — Manage chat
kie-pp-cli chat — Get the current credit balance available in your account.claude — Manage claude
kie-pp-cli claude — When stream: true is set in the request, the API returns responses as server-sent events (SSE).codex — Manage codex
kie-pp-cli codex — GPT 5.common — Manage common
kie-pp-cli common — Convert generated file URLs into downloadable temporary links. Only supports files generated by kie.ai services.file-base64-upload — Manage file base64 upload
kie-pp-cli file-base64-upload — Uploaded files are temporary and will be automatically deleted after 24h ### Features * Supports Base64 encoded datafile-stream-upload — Manage file stream upload
kie-pp-cli file-stream-upload — Uploaded files are temporary and will be automatically deleted after 24h ### Features * Supports binary stream uploadfile-url-upload — Manage file url upload
kie-pp-cli file-url-upload — Uploaded files are temporary and will be automatically deleted after 24h ### Features * Supports HTTP and HTTPS fileflux — Manage flux
kie-pp-cli flux generate-or-edit-image — Create a new image generation or editing task using the Flux Kontext AI model. ### Usage Modes 1.kie-pp-cli flux get-image-details — Query the status and results of an image generation or editing task.gemini — Manage gemini
kie-pp-cli gemini 3-5-flash — The Gemini endpoint returns streaming chunks from streamGenerateContent.kie-pp-cli gemini 3-6-flash — The Gemini endpoint returns streaming chunks from streamGenerateContent.kie-pp-cli gemini 3-flash-v1betamodels — The Gemini endpoint returns streaming chunks from streamGenerateContent.gemini-2-5-flash — Manage gemini 2 5 flash
kie-pp-cli gemini-2-5-flash chat-completions — When stream: true is set in the request, the API returns responses as server-sent events (SSE) with `Content-Typegemini-2-5-pro — Manage gemini 2 5 pro
kie-pp-cli gemini-2-5-pro chat-completions — When stream: true is set in the request, the API returns responses as server-sent events (SSE) with `Content-Typegemini-3-1-pro — Manage gemini 3 1 pro
kie-pp-cli gemini-3-1-pro — When stream: true is set in the request, the API returns responses as server-sent events (SSE) with `Content-Typegemini-3-5-flash-openai — Manage gemini 3 5 flash openai
kie-pp-cli gemini-3-5-flash-openai — When stream: true is set in the request, the API returns responses as server-sent events (SSE) with `Content-Typegemini-3-6-flash-openai — Manage gemini 3 6 flash openai
kie-pp-cli gemini-3-6-flash-openai — When stream: true is set in the request, the API returns responses as server-sent events (SSE) with `Content-Typegemini-3-flash — Manage gemini 3 flash
kie-pp-cli gemini-3-flash — When stream: true is set in the request, the API returns responses as server-sent events (SSE) with `Content-Typegemini-3-pro — Manage gemini 3 pro
kie-pp-cli gemini-3-pro chat-completions — When stream: true is set in the request, the API returns responses as server-sent events (SSE) with `Content-Typegenerate — Manage generate
kie-pp-cli generate add-instrumental — Generate instrumental accompaniment based on uploaded audio files.kie-pp-cli generate add-vocals — Generate music with vocals based on uploaded audio files.kie-pp-cli generate extend-music — Extend or modify existing music by creating a continuation based on a source audio track.kie-pp-cli generate get-music-details — Retrieve detailed information about a music generation task.kie-pp-cli generate get-timestamped-lyrics — Retrieve synchronized lyrics with precise timestamps for music tracks.kie-pp-cli generate mashup — Create remix music using AI models by combining multiple audio tracks.kie-pp-cli generate music — Generate music with or without lyrics using AI models.kie-pp-cli generate persona — Create a personalized music Persona based on generated music, giving the music a unique identity and characteristics.kie-pp-cli generate replace-section — Replace a specific time segment within existing music.kie-pp-cli generate sounds — Used for creating a sound generation task (Sounds Task).kie-pp-cli generate upload-and-cover-audio — This API creates a cover version of an audio track by transforming it into a new style while retaining its core melody.kie-pp-cli generate upload-and-extend-audio — This API extends audio while preserving the original style, generating a longer and seamless audio track.gpt-5-2 — Manage gpt 5 2
kie-pp-cli gpt-5-2 — GPT-5-2 API is a next-generation multimodal model with exceptional reasoning capabilitiesgpt4o-image — Manage gpt4o image
kie-pp-cli gpt4o-image generate-4o-image — Create a new 4o Image generation task. Generated images are stored for 14 days, after which they expire.kie-pp-cli gpt4o-image get-4o-image-details — Query 4o Image generation task details using taskId, including generation status, parameters and results.kie-pp-cli gpt4o-image get-4o-image-download-url — Convert an image URL to a direct download URL. This helps solve cross-domain issues when downloading images directly.grok — Manage grok
kie-pp-cli grok responses — GPT Grok 4.kie-ai-jobs — Manage kie ai jobs
kie-pp-cli kie-ai-jobs market-create-task — Unified entry point for every model in the Kie.ai Market catalog (image, video, and audio generation).kie-pp-cli kie-ai-jobs market-query-task — Query the status and results of any task created in the Market models.lyrics — Manage lyrics
kie-pp-cli lyrics generate — Generate creative lyrics content based on a text prompt.kie-pp-cli lyrics get-details — Retrieve detailed information about a lyrics generation task.midi — Manage midi
kie-pp-cli midi generate — Convert separated audio tracks into MIDI format with detailed note information for each instrument.kie-pp-cli midi get-details — Retrieve detailed information about a MIDI generation task including complete note data for all detected instruments.mp4 — Manage mp4
kie-pp-cli mp4 create-music-video — Create a video with visualizations based on your generated music track.kie-pp-cli mp4 get-music-video-details — Retrieve detailed information about a music video generation task.omni — Manage omni
kie-pp-cli omni gemini-audio — Use this endpoint to create a new audio.kie-pp-cli omni gemini-character — - image_urls supports only 1 imageresponses — Manage responses
kie-pp-cli responses — GPT Codex API is a multimodal chat-completions style endpoint that accepts structured input arraysrunway — Manage runway
kie-pp-cli runway extend-ai-video — Extend existing AI-generated videos to create longer sequences.kie-pp-cli runway generate-ai-video — Create dynamic AI-generated videos from text prompts or image references.kie-pp-cli runway get-ai-video-details — Retrieve comprehensive information about an AI-generated video task.style — Manage style
kie-pp-cli style — Boost Music Stylesuno — Manage suno
kie-pp-cli suno generate-cover — Generate personalized cover images based on original music tasks.kie-pp-cli suno get-cover-details — Get detailed information about Cover generation tasks.veo — Manage veo
kie-pp-cli veo extend-veo3-1-video — Extend an existing Veo 3.1 video by generating new content based on the original video and a text prompt.kie-pp-cli veo generate-veo3-1-video — Our Veo 3.1 Generation API is more than a direct wrapper around Google's baseline.kie-pp-cli veo get-veo3-1-1080p-video — Get the high-definition 1080P version of a Veo 3.1 video generation task.kie-pp-cli veo get-veo3-1-4k-video — Get the ultra-high-definition 4K version of a Veo 3.1 video generation task.kie-pp-cli veo get-veo3-1-video-details — This endpoint is the authoritative source of truth for querying the execution status and final results of all Veo 3.vocal-removal — Manage vocal removal
kie-pp-cli vocal-removal get-vocal-separation-details — Retrieve detailed information about a vocal separation task.kie-pp-cli vocal-removal separate-vocals — Use advanced audio processing technology to separate music into vocals, accompanimentvoice — Manage voice
kie-pp-cli voice suno-check — Check whether a generated Suno custom voice is available.kie-pp-cli voice suno-generate — Generate a custom Suno Voice after the user reads the validation phrase.kie-pp-cli voice suno-record-info — Query the custom Suno Voice generation result.kie-pp-cli voice suno-regenerate — Regenerate the validation phrase for an existing Suno Voice task.kie-pp-cli voice suno-validate — Generate a validation phrase for the Suno Voice custom voice workflow.kie-pp-cli voice suno-validate-info — Query the validation phrase generation result for a Suno Voice task.wav — Manage wav
kie-pp-cli wav convert-to — Convert an existing music track to high-quality WAV format.kie-pp-cli wav get-details — Retrieve detailed information about a WAV format conversion task.When you know what you want to do but not which command does it, ask the CLI directly:
kie-pp-cli which "<capability in your own words>"which resolves a natural-language capability query to the best matching command from this CLI's curated feature index. Exit code 0 means at least one match; exit code 2 means no confident match — fall back to --help or use a narrower query.
Run kie-pp-cli auth setup for the URL and steps to obtain a token (add --launch to open the URL). Then store it:
kie-pp-cli auth set-token YOUR_TOKEN_HEREOr set KIE_BEARER_AUTH as an environment variable.
Run kie-pp-cli doctor to verify setup.
Add --agent to any command. Expands to: --json --compact --no-input --no-color --yes.
Pipeable — JSON on stdout, errors on stderr
Filterable — --select keeps a subset of fields. Dotted paths descend into nested structures; arrays traverse element-wise. Critical for keeping context small on verbose APIs:
kie-pp-cli aleph generate-video --prompt example-value --agent --select id,name,statusPreviewable — --dry-run shows the request without sending
Offline-friendly — sync/search commands can use the local SQLite store when available
Non-interactive — never prompts, every input is a flag
Explicit retries — use --idempotent only when an already-existing create should count as success
Commands that read from the local store or the API wrap output in a provenance envelope:
{
"meta": {"source": "live" | "local", "synced_at": "...", "reason": "..."},
"results": <data>
}Parse .results for data and .meta.source to know whether it's live or local. A human-readable N results (live) summary is printed to stderr only when stdout is a terminal AND no machine-format flag (--json, --csv, --compact, --quiet, --plain, --select) is set — piped/agent consumers and explicit-format runs get pure JSON on stdout.
Agents should treat the CLI's path resolver as part of the runtime contract:
Use --home <dir> for one invocation, or set KIE_HOME=<dir> to relocate all four path kinds under one root.
Use per-kind env vars only when a specific kind must diverge: KIE_CONFIG_DIR, KIE_DATA_DIR, KIE_STATE_DIR, KIE_CACHE_DIR.
Resolution order is per-kind env var, --home, KIE_HOME, XDG (XDG_CONFIG_HOME, XDG_DATA_HOME, XDG_STATE_HOME, XDG_CACHE_HOME), then platform defaults.
config contains settings like config.toml and profiles. data contains credentials.toml, data.db, cookies, and auth sidecars. state contains persisted queries, jobs, and teach.log. cache contains regenerable HTTP/cache files.
Stored secrets live in credentials.toml under the data dir. Existing legacy config.toml secrets are read for compatibility and leave config.toml on the first auth write.
Run kie-pp-cli doctor --fail-on warn to surface path and credential-location warnings. agent-context exposes a schema v4 paths block for agents that need the resolved dirs.
For MCP, pass relocation through the MCP host config. The MCP binary does not inherit CLI flags:
{
"mcpServers": {
"kie": {
"command": "kie-pp-mcp",
"env": {
"KIE_HOME": "/srv/kie"
}
}
}
}Fleet precedence: an inherited per-kind env var overrides an explicit --home for that kind. Use KIE_HOME or per-kind vars as durable fleet levers, and use --home only for a single invocation. Relocation is not reversible by unsetting env vars; move files manually before clearing KIE_HOME, or doctor will not find credentials left under the former root.
This CLI ships a self-capturing learning loop. The CLI does its own bookkeeping: every invocation is journaled locally, a failed flag followed by a corrected retry auto-derives a flag_alias candidate, and a teach on a query family without a playbook auto-synthesizes a playbook_candidate from the session's journal. Your job is judgment only: recall first, act on surfaced candidates, teach the final answer, playbook amend when you observe a correction. You never record failures by hand.
recall before any discoveryBefore list/search/drill commands on a new user question, run:
kie-pp-cli recall "<user's question>" --agentThe response envelope:
{
"query": "...",
"normalized": "<normalized form>",
"query_entities": ["..."],
"found": true | false,
"match_score": 0.0,
"results": [
{ "resource_id": "...", "resource_type": "...", "venue": "...",
"confidence": 2, "entity_match": "exact|partial|unknown",
"source": "taught|preseed|pattern", "warnings": ["..."] }
],
"mismatches": [ /* only when --debug-mismatches */ ],
"warnings": [ /* top-level */ ],
"candidates": [
{ "id": 12, "class": "flag_alias | playbook_candidate",
"summary": "...", "sightings": 3, "last_seen": "...",
"rationale": "...",
"next_action": ["<trial command>", "kie-pp-cli learnings confirm 12"] }
],
"playbook": {
"query_family": "...",
"playbook": {
"steps": [ { "cmd": "<command with {slot} substitution>", "purpose": "..." } ],
"entity_slots": ["$ENTITY"],
"expected_tool_calls": 3
},
"slots_resolved": { "$ENTITY": { "token": "<live token>", "canonical": "<canonical>" } },
"notes": "<workarounds + gotchas for this query family>"
},
"notes": "<duplicate surface for non-playbook callers>"
}Empty-store short-circuit: if the store has no learnings, playbooks, or candidates yet (recall finds nothing and learnings list and learnings candidates are both empty), skip recall for the rest of this session instead of taxing every query; resume recall-first once something has been taught.
Read candidates, playbook, notes, results[0], and warnings in that order:
if Candidates present (warnings include "candidates_present"):
-> candidates are try-then-confirm, never facts. Follow each candidate's
two-step next_action verbatim: run the trial command first, then run
`learnings confirm <id>` only after the trial verified the behavior.
Reject a wrong candidate with `learnings reject <id>`.
-> NEVER re-teach something recall surfaced as a candidate; confirm or
reject that candidate instead of teaching a duplicate.
-> candidates ride alongside playbooks and resource hits, not instead of
them; continue with the branches below after acting on them.
if Playbook present:
-> READ Playbook.notes verbatim FIRST (workarounds + gotchas the CLI surface doesn't expose)
-> replay Playbook.steps in order, substituting Playbook.slots_resolved entries
for the entity slot tokens. If a step's slot is unresolved, fall back to
discovery for that step only.
-> the Playbook's expected_tool_calls is a budget; if you find yourself running
materially more, record the divergence via `kie-pp-cli playbook amend`
at end-of-session.
elif Notes present (no Playbook):
-> read Notes verbatim before any discovery step; they carry known gotchas
for this query family even when no structured choreography exists yet.
elif Found AND Results[0].EntityMatch == "exact" AND Results[0].Confidence >= 2:
-> skip discovery; fetch live data for Results[*].ResourceID in parallel
elif Found AND Results[0].EntityMatch == "partial":
-> candidate hint, NOT a hit; read the resource title to validate before trusting
elif (any row in Mismatches[] when --debug-mismatches was passed):
-> treat as cold start; the stored learning is for a different entity
(different canonical resolved from query_entities)
else: // Found == false, no playbook, no notes
-> cold start; run discovery normally; teach the answer afterward (Step 4).
If the family has no playbook yet, that teach auto-synthesizes a
playbook candidate from this session's journal - you do not need to
record one by hand.Playbook and Notes are orthogonal to the per-resource path. A recall response can carry both a Playbook AND a Results[] hit - use both: the Playbook tells you which choreography to run; the resource hits short-circuit specific steps. Default to skipping mismatches; pass --debug-mismatches only when investigating cold-start surprises.
Candidate judgment details: learnings confirm <id> prints the candidate's full payload before materializing it - check that the printed payload matches the behavior you verified. learnings reject <id> tombstones the derivation signature so the same candidate does not resurface. The envelope carries only the few candidates worth acting on now; kie-pp-cli learnings candidates lists the full open set.
Graceful degradation: if learnings confirm is an unknown command, you are driving an older binary - ignore the candidates guidance and follow the rest of the protocol.
warningslow_confidence: row exists at confidence<2. Treat as a hint, not a skip-discovery hit.resource_not_in_store: the local store doesn't have the resource the learning points at. The match validator couldn't classify entities — direct-fetch and re-evaluate.cross_alias_match (per-result): the row was taught under a different alias and matched the live query's canonical via entity_lookups (e.g., a "USA" teach satisfying a "United States" recall). Trust the resource_id.similar_shape_different_entity:<canonical> (top-level): a structurally matching row exists but its canonical entity differs from the live query's. Treated as cold start; the warning carries the conflicting canonical as a hint, but the row is NOT promoted into Results.ambiguous_alias (top-level): a single query entity resolved to multiple canonicals (e.g., "Cards" → Arizona Cardinals + St. Louis Cardinals). Surface the ambiguity from context before committing to a resource.candidates_present (top-level): the envelope carries a candidates section. Handle it via the candidates branch in Step 2 before anything else.lookup_refresh_available (top-level): an entity in the query has no lookup row yet, but synced data could provide one. Run kie-pp-cli sync to refresh entity lookups.no_learnings_for_query_family: the table had no rows above the Jaccard floor. Pure cold start.teach & after finalizing your response - alwaysTeaching is unconditional. After resolving a query the store could not answer, background-teach the final resource mapping - no call-count threshold, no judging whether it was "worth" learning. The teach is the anchor of the loop: it triggers playbook synthesis for a family without a playbook, and same-referent phrasings fold into one family so near-duplicate teaches do not fragment the store. Fire it after assembling your user-facing response but BEFORE emitting it, with a shell & so the call returns immediately:
kie-pp-cli teach --query "<user's question>" --resource-type <type> --resource <id1> --resource <id2>
# (append shell `&` to background it)Silent on success. Errors only land in teach.log under the resolved state dir. Teach the most specific resource - if the user asked a broad question and you walked through parent records to find the specific answer, teach the leaf id, not the parent. The CLI uses seeded entity_lookups for cross-alias resolution at recall time, so a teach under one alias (e.g., "Niners") satisfies future queries under another alias (e.g., "49ers", "San Francisco") automatically.
PII rule: teach the structural question with identifiers stripped - never include names, emails, phone numbers, account ids, or other personal identifiers in taught queries or notes. The CLI scans teach queries for obvious email/phone shapes and warns, but does not block; strip before teaching rather than relying on the warning.
You do not need to decide whether a session "deserves" a playbook: a teach on a family without one auto-synthesizes a playbook_candidate from the session's journal, and the next session judges it via confirm/reject. Attach explicit playbook flags only when you already hold choreography worth recording verbatim - workarounds the CLI didn't surface (silently-dropped flags, undocumented params, pagination tricks, payload gotchas). Prefer the integrated one-call form - record the resource learning and the playbook in the same teach invocation:
# Common case: record both the resource learning AND the playbook in one call.
kie-pp-cli teach \
--query "<user's question>" \
--resource <id> \
--playbook-file ~/playbooks/<shape>.json \
--playbook-notes-file ~/playbooks/<shape>-notes.md
# (append shell `&` to background it)
# Alternate: playbook-only (no resource to record alongside).
kie-pp-cli teach-playbook \
--query "<user's question>" \
--playbook-file ~/playbooks/<shape>.json \
--notes-file ~/playbooks/<shape>-notes.mdPlaybook files are JSON with steps, entity_slots, expected_tool_calls. Notes files are markdown carrying the gotchas verbatim. File-free callers (MCP-only agents) pass the same content inline: --playbook-json and --playbook-notes on the integrated teach form, --playbook-json and --notes on teach-playbook. On the integrated teach form, the playbook flags are optional - omit them entirely for a resource-only teach. On the standalone teach-playbook form, at least one of the playbook and notes flags must be set; both empty is rejected. Playbooks are keyed on the structural query family (entities stripped) so a recipe taught from one entity-shaped query applies to every other query of the same shape, with slots_resolved binding the live query's canonical at recall time.
When you DO find a playbook on a future recall, treat it as ground truth: replay the steps with slots_resolved substitutions, skip the discovery that the choreography already documents, and read notes before any step.
playbook amend & when your debug response identifies a correctionIf your debug-protocol response identifies a concrete correction the notes or playbook should know — a workaround, an undocumented endpoint shape, a stale field name, observed schema drift, an empty-payload fallback — fire playbook amend BEFORE emitting your user-facing response. Same fire-and-forget posture as teach.
kie-pp-cli playbook amend \
--query "<exact recall query string>" \
--add-note "<your concrete correction>"
# (append shell `&` to background it)What counts as worth amending: a behavior you OBSERVED this session that future-you would benefit from knowing. Examples worth amending:
{meta, results}, payload nested two levels deeper than the docs claim).What does NOT belong in notes:
The amend command appends to the family's existing notes with a timestamped marker ([amend YYYY-MM-DDTHH:MMZ]: <text>). Multiple amends accumulate; the audit trail is visible. If no playbook exists yet for the family, amend creates a notes-only one (so cold-start corrections still land).
playbook amend notes are designed to potentially flow upstream as shared knowledge in future versions of the Printing Press. Keep them clean of user-identifying content so the upstream-contribution path stays open without retroactive scrubbing:
If a correction is only meaningful with user-specific context, it belongs in a personal note, not in the playbook amend.
kie-pp-cli learnings stats reports recall hit rate, teach-to-reuse, playbook resolution rate, and candidate confirm/reject counts from the local learn_events table. Rates are null until they have a denominator; everything stays on this machine. Use it to check whether the loop is earning its keep for this CLI.
--no-learn on a single command short-circuits both recall and the teach write path. Use for deterministic agent flows or tests that must not be affected by accumulated learnings.KIE_NO_LEARN=true in the environment globally disables the pipeline.When you (or the agent) notice something off about this CLI, record it:
kie-pp-cli feedback "the --since flag is inclusive but docs say exclusive"
kie-pp-cli feedback --stdin < notes.txt
kie-pp-cli feedback list --json --limit 10Entries are stored locally as feedback.jsonl under the resolved data dir. They are never POSTed unless KIE_FEEDBACK_ENDPOINT is set AND either --send is passed or KIE_FEEDBACK_AUTO_SEND=true. Default behavior is local-only.
Write what surprised you, not a bug report. Short, specific, one line: that is the part that compounds.
Every command accepts --deliver <sink>. The output goes to the named sink in addition to (or instead of) stdout, so agents can route command results without hand-piping. Three sinks are supported:
| Sink | Effect |
|---|---|
stdout | Default; write to stdout only |
file:<path> | Atomically write output to <path> (tmp + rename) |
webhook:<url> | POST the output body to the URL (application/json or application/x-ndjson when --compact) |
Unknown schemes are refused with a structured error naming the supported set. Webhook failures return non-zero and log the URL + HTTP status on stderr.
A profile is a saved set of flag values, reused across invocations. Use it when a scheduled or recurring agent reuses the same saved flags while providing different input each run.
kie-pp-cli profile save briefing --json
kie-pp-cli --profile briefing aleph generate-video --prompt example-value
kie-pp-cli profile list --json
kie-pp-cli profile show briefing
kie-pp-cli profile delete briefing --yesExplicit flags always win over profile values; profile values win over defaults. agent-context lists all available profiles under available_profiles so introspecting agents discover them at runtime.
| Code | Meaning |
|---|---|
| 0 | Success |
| 2 | Usage error (wrong arguments) |
| 3 | Resource not found |
| 4 | Authentication required |
| 5 | API error (upstream issue) |
| 7 | Rate limited (wait and retry) |
| 10 | Config error |
Parse $ARGUMENTS:
help, or --help → show kie-pp-cli --help outputinstall → ends with mcp → MCP installation; otherwise → see Prerequisites above--agent)Install the MCP binary from this CLI's published public-library entry or pre-built release, then register it:
claude mcp add kie-pp-mcp -- kie-pp-mcpVerify: claude mcp list
which kie-pp-cli
If not found, offer to install (see Prerequisites at the top of this skill).--agent flag:kie-pp-cli <command> [subcommand] [args] --agentkie-pp-cli <command> --help.© mvanhorn, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 304 other files (scripts) in library/ai/kie of mvanhorn/printing-press-library.
Open the folder on GitHubat commit d9a1696
Pp Kie next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Pp Kie this skillmvanhorn/printing-press-library | 2.1k | — | ~7.9k | Automated safety check: Notes | Apache-2.0 | |
| CSS Printthedaviddias/Front-End-Checklist | 74k | — | ~422 | Automated safety check: Pass | MIT | |
| Unified Memoryaffaan-m/ECC | 276k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| Schema Unifygarrytan/gbrain | 31k | — | ~3.4k | Automated safety check: Pass | MIT | |
| Brand Kit Print Collateralsickn33/agentic-awesome-skills | 47k | 1 repos | ~6.4k | Automated safety check: Pass | MIT | |
| Unified AI Gatewaysickn33/agentic-awesome-skills | 47k | 2 repos | ~3.8k | Automated safety check: Notes | Apache-2.0 |
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing stylesheets, component styles, and responsive behavior related to Include a print stylesheet.
affaan-m/ECC
Share durable, inspectable context and handoffs between Claude, Codex, Hermes, Cursor, OpenCode, and other agents through the local ECC Memory Vault.
garrytan/gbrain
Migrate a brain from gbrain-base (or any pack) to gbrain-base-v2's 14-canonical-type taxonomy via gbrain onboard --check + the unify-types Minion handler.
sickn33/agentic-awesome-skills
Print collateral spec: item, finished and trim size, bleed, colour mode, stock and GSM, finish, safe margin, print method, quantity and unit cost.
sickn33/agentic-awesome-skills
Operate and evaluate Unified AI System through fifteen governed MCP tools, including provider-free prompt enhancement, while preserving fake-provider, authorization, and evidence boundaries.
sundial-org/awesome-openclaw-skills
Query and monitor UniFi network via local gateway API (Cloud Gateway Max / UniFi OS).
mvanhorn/printing-press-library
Desktop automation through the real Rust agent-desktop CLI, published in Printing Press through a small bridge.
mvanhorn/printing-press-library
Search, browse, and download Google Fonts from the terminal via the gfonts CLI.
mvanhorn/printing-press-library
The free, offline Trigger phrases: search 1688 for, find a factory on 1688 for, wholesale price on 1688 for, who is the cheapest supplier on 1688 for, compare 1688 suppliers for, use 1688, run 1688.
mvanhorn/printing-press-library
Inspect known Activity Japan plan IDs or URLs, compare dated prices and sessions, check language-sitemap coverage, and hand off to canonical booking pages.
mvanhorn/printing-press-library
Every Admin By Request portal action, plus a local SQLite mirror of audit, events, inventory and requests for ad-hoc...
mvanhorn/printing-press-library
macOS screen capture, window recording, GIF conversion, and agent evidence bundles from the terminal.
Printing Press CLI for Kie. An agent skill from mvanhorn/printing-press-library. Pp Kie is an agent skill from mvanhorn/printing-press-library. Printing Press CLI for Kie.
Run `npx skills add mvanhorn/printing-press-library --skill pp-kie -a claude-code`. Or copy the skill folder (library/ai/kie in mvanhorn/printing-press-library) into .claude/skills/pp-kie in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mvanhorn/printing-press-library --skill pp-kie -a codex`. Or copy the skill folder (library/ai/kie in mvanhorn/printing-press-library) into .agents/skills/pp-kie in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mvanhorn/printing-press-library --skill pp-kie -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pp-kie, .gemini/skills/pp-kie, .github/skills/pp-kie and .opencode/skills/pp-kie in your project.
Going by SKILL.md and its folder, Pp Kie needs the command-line tools its instructions call (claude and npx). Our summary lists: Node.js. Its frontmatter pre-approves these tools: Read, Bash.
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Pp Kie is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 7.9k tokens (SKILL.md is roughly 32k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Pp Kie: CSS Print (thedaviddias/Front-End-Checklist, 74k stars), Unified Memory (affaan-m/ECC, 276k stars), Schema Unify (garrytan/gbrain, 31k stars) and Brand Kit Print Collateral (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
mvanhorn (a GitHub user) maintains it in mvanhorn/printing-press-library, which has 2,056 GitHub stars. The repository holds 506 skills in this directory. The repository was last updated on October 9, 2026.
Source: mvanhorn/printing-press-library on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.