GitHub repository access in containerized environments using REST API and credential detection. Use when git clone fails, or when accessing private repos/writing files via API.
日本語の概要は準備中です。原文の説明を表示しています。
Draws images, PDF/SVG vector files and animation frames with pycairo, and supplies what cairo lacks: shaped text for Arabic, Indic and other scripts, text along curves, blur/glow/drop shadows, path booleans, stroke-to-outline, and Gouraud-shaded 3D. Use when writing pycairo or cairo drawing code, generative art, custom diagrams or posters rendered in Python, or when cairo output needs non-Latin text, soft effects, merged shapes or shaded surfaces.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Cairo paints paths with solid colours, gradients, mesh gradients and images, and composites them with 20-odd operators. It writes PNG, PDF, SVG and PostScript. It does not shape text, filter pixels, combine paths, outline strokes, or do depth. scripts/cairokit.py fills each gap; scripts/selftest.py exercises all of it. Both were verified on pycairo 1.29.1 / cairo 1.18.0 / Python 3.11.
pip install --break-system-packages pycairo numpy uharfbuzz fonttools skia-pathops
python3 /mnt/skills/user/drawing-with-pycairo/scripts/selftest.py /tmp/cairo-selftest
The self-test prints the cairo version, whether Pango is usable, per-panel timings, and the path of a 2×2 contact sheet. Read that sheet: panel A shows joined Arabic in green next to broken toy-API Arabic in red, B shows four boolean results and an outlined wave, C shows glow and a soft shadow, D shows a smooth-shaded torus. Then:
import sys; sys.path.insert(0, "/mnt/skills/user/drawing-with-pycairo/scripts")
from cairokit import *
In the environment where this was built, pycairo was not preinstalled. Pango was also absent: the system PyGObject was compiled for Python 3.12 while python3 was 3.11, and there were no Pango typelibs. pango() reports which case you are in.
Every render ends with a Read of the PNG before the next edit or before reporting. Exit codes and timings don't show visual bugs. In the session that produced this skill, looking caught five defects that ran without error:
move_to wasn't its first sampleFor several outputs, contact_sheet() tiles them so one Read covers all of them. For animation, extract two or three frames with ffmpeg -ss T -i out.mp4 -frames:v 1 f.png and read those.
| need | call |
|---|---|
| surface + context with background | new_image(w, h, bg) |
| ASCII caption on a box | label(c, text, x, y) |
| pixels as numpy (BGRA, premultiplied, live view) | pixels(s), from_array(a), from_rgb_float(rgb) |
| blur, drop shadow, neon glow | gauss_blur(a, sigma), blurred(s, sigma), glow(sharp) |
| shaped text for any script, as outlines | Shaper(font_path).text_path(c, text, x, y, size) |
| text along a curve | Shaper.text_on_curve(c, text, polyline_walker(points), size) |
| union / intersection / difference / xor | boolean(c, build_a, build_b, op) |
| outline of a stroke | stroke_to_path(c, width, cap, join) |
| perspective, depth sort, smooth shading | project(P), painter_order(z), gouraud_mesh(quads, colors, order) |
| frames to MP4, many PNGs to one sheet | frames_to_mp4(pattern, out), contact_sheet(files, out) |
| Pango availability | pango() → (Pango, PangoCairo) or None |
Find a font for a script with fc-match -f '%{file}' 'DejaVu Sans:lang=ar' (or fc-list :lang=hi family file). DejaVu Sans covers Arabic and Hebrew; FreeSans covers Devanagari.
| thing | result |
|---|---|
| alpha circles, antialiased | ~58k/s (no-AA: ~139k/s) |
| one 200k-segment polyline stroke | ~1.0 s |
| ImageSurface max side | 32767; 32768 raises cairo.Error |
glow(), two blur radii | ~240 ms |
| 10k quads, flat fill_preserve+stroke | ~160 ms |
10k quads, one gouraud_mesh() | ~125 ms (faster, and smooth) |
| animation frame, 10k-quad mesh at 640×480 | ~130 ms |
| mesh gradient → PDF | kept as vector (ShadingType 6/7) |
| mesh gradient → SVG | rasterised to an embedded <image> (SVG has no mesh gradient) |
| 10k flat quads → SVG vs PDF | 3.5 MB vs 0.36 MB |
Cairo renders on one CPU core. For large batches or long animations, spread frames across processes with multiprocessing rather than threads.
Text. show_text() / text_path() map codepoints to glyphs one by one, left to right, with no joining, reordering, ligatures or kerning. They are fine for ASCII labels. For anything else, use Pango if pango() returns modules, otherwise Shaper. Shaper does no line wrapping, no bidi across mixed-direction runs, and no font fallback: one font per call, and you split runs yourself.
Paths and the CTM. Path coordinates are transformed when they are appended, and the path is not part of the saved state. save(); scale(); <append>; restore(); fill() fills the transformed shape without distorting anything later. Line width, however, is transformed at stroke() time. Stroking inside a non-uniform scale() gives calligraphic, uneven lines, so restore first.
Pixels. ARGB32 memory is B,G,R,A per pixel, alpha-premultiplied, with rows get_stride() bytes apart. Call flush() before reading and mark_dirty() after writing. pixels() and from_array() handle this. Blurring premultiplied data is correct; un-premultiplying first gives dark fringes.
Seams. Two antialiased fills sharing an edge leave a faint line of background between them (conflation). Fixes: fill_preserve() plus a 0.5–0.7 px stroke in the same colour, or a single MeshPattern for the whole surface.
MeshPattern. Neighbouring Coons patches must use the identical curve for their shared edge. Generate each edge's control points in a canonical direction and reverse them for the other patch, or seams appear. Patches paint in insertion order, which is what makes gouraud_mesh() a painter's-algorithm renderer.
3D. There is no depth buffer. Sorting by mean depth fails when polygons interpenetrate or are long and thin across depth; subdividing helps. Use two-sided normals (flip toward the camera) unless the mesh orientation is known. Screen y points down, so a light "from the top left, toward the camera" is (-x, -y, -z) with camera-space +z pointing away.
skia-pathops. Round caps and joins produce conic segments, and simplify() rejects them; stroke_to_path() converts them to quadratics first. Any other pathops output passed to append_pathops() needs convertConicsToQuads() too.
Output. SVGSurface / PDFSurface must be finish()ed, or the file is truncated. RecordingSurface records once and replays at any scale or to any backend. Operators such as ADD, SCREEN, MULTIPLY and DIFFERENCE are on the context (set_operator). Float formats FORMAT_RGB96F / FORMAT_RGBA128F exist from cairo 1.18 for HDR-ish accumulation.
| task | use |
|---|---|
| data charts | charting (matplotlib/seaborn) |
| photo edits, resizing, format conversion | processing-images |
| raster image to SVG | image-to-svg |
| illustrations or portraits from a prompt | invoking-gemini |
| real 3D (occlusion, textures, >50k polygons) | a rasteriser or ray tracer; cairo's painter approach stops being practical |
| polygon analysis (areas, buffers, spatial predicates) | shapely; use skia-pathops when the result goes back into cairo as curves |
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
GitHub repository access in containerized environments using REST API and credential detection. Use when git clone fails, or when accessing private repos/writing files via API.
日本語の概要は準備中です。原文の説明を表示しています。
Decide which model, effort level, and cascade shape each subagent gets, and how to keep improvement loops safe (evaluator-as-selector, stop on regression). Routes on measured cost-per-completed-task rather than per-token price, because a tier's token count varies more by task shape than price varies across tiers. Covers per-model effort semantics, the concision lever, cascade preconditions, context handoff, and watching a subagent fan-out live. Use when choosing a subagent's model or effort, when choosing how to escalate a failed attempt, or when asked which model or effort a task should get. Grounded in a 2026-07 calibration, a 2026-08 coding-cost study, a 2026-09 seeded-bug repair battery, a 2026-10 Haiku 5.5 ladder priced per spawn, and a 2026-10 retry-versus-escalation ladder on 295 SWE-bench Verified tasks; Managed Agents API specifics are operational, not calibrated.
日本語の概要は準備中です。原文の説明を表示しています。
Securely manages API credentials for multiple providers (Anthropic Claude, Google Gemini, GitHub). Use when skills need to access stored API keys for external service invocations.
日本語の概要は準備中です。原文の説明を表示しています。
Guidance for asking clarifying questions when user requests are ambiguous, have multiple valid approaches, or require critical decisions. Use when implementation choices exist that could significantly affect outcomes.
日本語の概要は準備中です。原文の説明を表示しています。
Pre-change blast-radius report for a symbol or file. Walks tree-sitting references, augments with a plain-text scan over non-parsed files (configs, plain docs), and clusters affected sites by feature (`_FEATURES.md`) or top-level package. Use when about to refactor, rename, or delete something in a repo you don't own — "what breaks if I change `validateUser`", "who calls this", "is this safe to remove", "where is this used", "blast radius", "impact analysis". This is the CONVERGENT pre-change risk skill — for "what is this repo?" use exploring-codebases; for "where is X?" use searching-codebases.
日本語の概要は準備中です。原文の説明を表示しています。
Read Bluesky/ATProto without depending on Bluesky's AppView — interactions on a user's posts, thread replies, any repo's records, network-wide backlinks across every lexicon, an account's handle and PDS history, which collections are active network-wide, and layer-by-layer outage diagnosis. Use when bsky.app or the AppView is down or slow, when a Bluesky read returns timeouts or 5xx, when asked who liked/replied/quoted/reposted something, when pulling live Bluesky context cheaply, when reading records straight from a PDS, when asked who references a record or account anywhere on the network, whether an account has changed handle or migrated servers, or which lexicons and non-Bluesky apps are active on atproto. Complements browsing-bluesky, which routes everything through the AppView and fails when it does.
日本語の概要は準備中です。原文の説明を表示しています。