Elodin DB
elodin-sys/elodin
Work with Elodin-DB, the time-series telemetry database. An agent skill from elodin-sys/elodin.
Work on the C++ layer that the R package and the Python port share — the headers under src/headers/, the Rcpp bindings in src/, the pybind11 bindings in src/python/, and the two build systems that…
Install Smooth Cpp Shared
$ npx skills add openforecast-org/smooth --skill smooth-cpp-shared -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install openforecast-org/smooth smooth-cpp-shared --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/openforecast-org/smooth.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/smooth-cpp-shared .claude/skills/smooth-cpp-shared && 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 "smooth-cpp-shared" agent skill from https://github.com/openforecast-org/smooth/tree/master/.claude/skills/smooth-cpp-shared into .claude/skills/smooth-cpp-shared/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "smooth-cpp-shared", 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/openforecast-org/smooth/tree/master/.claude/skills/smooth-cpp-sharedType 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 openforecast-org/smooth --skill smooth-cpp-shared -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install openforecast-org/smooth smooth-cpp-shared --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openforecast-org/smooth.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/smooth-cpp-shared .agents/skills/smooth-cpp-shared && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "smooth-cpp-shared" agent skill from https://github.com/openforecast-org/smooth/tree/master/.claude/skills/smooth-cpp-shared into .agents/skills/smooth-cpp-shared/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "smooth-cpp-shared", 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 openforecast-org/smooth --skill smooth-cpp-shared -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install openforecast-org/smooth smooth-cpp-shared --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openforecast-org/smooth.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/smooth-cpp-shared .cursor/skills/smooth-cpp-shared && 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 "smooth-cpp-shared" agent skill from https://github.com/openforecast-org/smooth/tree/master/.claude/skills/smooth-cpp-shared into .cursor/skills/smooth-cpp-shared/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "smooth-cpp-shared", 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/openforecast-org/smooth.git --path .claude/skills/smooth-cpp-shared--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 openforecast-org/smooth --skill smooth-cpp-shared -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install openforecast-org/smooth smooth-cpp-shared --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openforecast-org/smooth.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/smooth-cpp-shared .gemini/skills/smooth-cpp-shared && 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 "smooth-cpp-shared" agent skill from https://github.com/openforecast-org/smooth/tree/master/.claude/skills/smooth-cpp-shared into .gemini/skills/smooth-cpp-shared/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "smooth-cpp-shared", 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 openforecast-org/smooth smooth-cpp-sharedInstalls 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 openforecast-org/smooth --skill smooth-cpp-shared -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/openforecast-org/smooth.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/smooth-cpp-shared .github/skills/smooth-cpp-shared && 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 "smooth-cpp-shared" agent skill from https://github.com/openforecast-org/smooth/tree/master/.claude/skills/smooth-cpp-shared into .github/skills/smooth-cpp-shared/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "smooth-cpp-shared", 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 openforecast-org/smooth --skill smooth-cpp-shared -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install openforecast-org/smooth smooth-cpp-shared --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openforecast-org/smooth.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/smooth-cpp-shared .opencode/skills/smooth-cpp-shared && 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 "smooth-cpp-shared" agent skill from https://github.com/openforecast-org/smooth/tree/master/.claude/skills/smooth-cpp-shared into .opencode/skills/smooth-cpp-shared/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "smooth-cpp-shared", 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.
Facts
- Skill name
smooth-cpp-shared- GitHub stars
- 107
- Token cost
- ~1.1k tokens
- SKILL.md length
- 477 words
- Files
- 1
- Skills in repo
- 2
- Repo updated
- First seen
- Licence
- LGPL-2.1
At a glance
Work on the C++ layer that the R package and the Python port share — the headers under src/headers/, the Rcpp bindings in src/, the pybind11 bindings in src/python/, and the two build systems that…
- Debugging C++ in this repo
- SKILL.md covers Layout, Building and Rules
- Calls python and python3
- A numeric result differs between the R and Python builds
What it does
Smooth Cpp Shared is an agent skill from openforecast-org/smooth. Work on the C++ layer that the R package and the Python port share — the headers under src/headers/, the Rcpp bindings in src/, the pybind11 bindings in src/python/, and the two build systems that compile them. Use when editing or debugging C++ in this repo, when a numeric result differs between the R and Python builds, when adding a new binding, or when a build/compilation step fails.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Data & Analytics, covering Forecasting and time series. It works with C++ and Python. The repository describes itself as: The set of functions used for time series analysis and in forecasting.
When your agent uses it
- Debugging C++ in this repo
- A numeric result differs between the R and Python builds
- Adding a new binding
- A build/compilation step fails
Example prompts
- “/smooth-cpp-shared”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit aa89029. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
pythonpython3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Smooth Cpp Shared loads about 1.1k tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 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.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from openforecast-org/smooth at commit aa89029, republished under its LGPL-2.1 licence (© openforecast-org). 477 words, ~1,092 tokens.
Download SKILL.mdSave it as
.claude/skills/smooth-cpp-shared/SKILL.md (or your agent's skills folder).- name
- smooth-cpp-shared
- description
- Work on the C++ layer that the R package and the Python port share — the headers under src/headers/, the Rcpp bindings in src/, the pybind11 bindings in src/python/, and the two build systems that compile them. Use when editing or debugging C++ in this repo, when a numeric result differs between the R and Python builds, when adding a new binding, or when a build/compilation step fails.
The shared C++ layer
R and Python compile the same algorithm sources and differ only in their bindings. That is what makes bit-for-bit parity achievable: an edit to a header changes both languages at once.
Layout
| Directory | What it holds |
|---|---|
src/headers/ | The algorithms. Header-only, binding-agnostic, shared by both builds. |
src/*.cpp | Rcpp bindings, compiled into the R package. |
src/python/*.cpp | pybind11 bindings, compiled into the Python package. |
Headers
adamCore.h (fit / forecast / simulate — the core state-space recursion),
adamGeneral.h, adamGradient.h (gradientSolve for initial="gradient"),
hessianCore.h (finite-difference Hessian, the single source of truth for both
languages' vcov), olsCore.h (pivoted QR with a scale-invariant rank cutoff,
behind msdecompose's global smoother), matrixPowerCore.h, eigenCalc.h,
ssGeneral.h, ssOccurrence.h.
ssGeneral.h is the one header with a #ifdef PYTHON_BUILD branch; the rest
compile identically for both.
Bindings
| Algorithm | R (src/) | Python (src/python/) → module |
|---|---|---|
| ADAM core | adamGeneral.cpp | adamPython.cpp → _adamCore |
| Eigenvalue bounds | eigenCalc.cpp | eigenCalc.cpp → _eigenCalc |
| FD Hessian | hessianCpp.cpp | numDeriv.cpp → _numDeriv |
| OLS (pivoted QR) | olsWrap.cpp | olsWrap.cpp → _ols |
| Matrix power | matrixPowerWrap.cpp | not built — matrix_power_wrap in core/utils/var_covar.py is pure NumPy |
| State-space / occurrence | ssGeneral.cpp | not bound |
The Python modules land in smooth.adam_general (_adamCore, _eigenCalc,
_numDeriv, _ols). src/python/matrixPowerWrap.cpp exists but has no
pybind11_add_module entry in python/CMakeLists.txt.
Building
R — R CMD INSTALL . or devtools::load_all(). Rcpp + RcppArmadillo, flags
from src/Makevars. devtools::load_all() recompiles what changed, which is
what the Python r_parity tests drive through tests/_r_bridge.py.
Python — CMake + scikit-build-core + pybind11, with carma bridging NumPy and
Armadillo. python/CMakeLists.txt declares one pybind11_add_module per
binding, each compiled with PYTHON_BUILD defined and ../src on the include
path. Rebuild with cd python && python3 -m pip install -e .; a pure-Python
edit needs no rebuild.
Show full SKILL.md (223 more words)Show less
Rules
Matrices are Fortran (column-major) order. Armadillo requires it. Both binding layers convert at the boundary; get it wrong and you read transposed data with no error.
Never let the compiler contract floating-point operations. A fused
multiply-add rounds once where the source asks for twice. That is one ULP, and
in an iterative routine it compounds — a whole class of "works on Linux, fails
on macOS" bugs, because every arm64 chip has an FMA instruction and baseline
x86-64 does not. Do not add -ffast-math, -Ofast or -march=native to either
build. If a numeric result differs between platforms and the algorithm is
identical, test the hypothesis directly: rebuild on x86-64 with
-mfma -ffp-contract=fast and see whether the difference reproduces.
Change the header, not one binding. Anything that alters numbers belongs in
src/headers/ so both languages move together. A fix applied to only one side
is a parity regression, even when it makes that side more correct.
Verify against R, not against intuition. After a header change, run the
Python r_parity markers — they load the local R source via
devtools::load_all(), so they compare the C++ you just edited:
cd python && .venv/bin/python -m pytest tests/ -m "r_parity or r_comparison"Baseline is 457 passed, 3 xfailed. Anything else is yours.
Read a difference correctly. Same kernel, same optimiser, same
initialisation means a materially different optimum cannot be an optimiser
artefact — see the smooth-translation skill for the diagnostic.
© openforecast-org, LGPL-2.1. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .claude/skills/smooth-cpp-shared of openforecast-org/smooth.
Open the folder on GitHubat commit aa89029
Compare with similar skills
Smooth Cpp Shared 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 |
|---|---|---|---|---|---|---|
| Smooth Cpp Shared this skillopenforecast-org/smooth | 107 | — | ~1.1k | Automated safety check: Pass | LGPL-2.1 | |
| Elodin DBelodin-sys/elodin | 547 | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | |
| StatsmodelszLanqing/codex-claude-academic-skills | 4.6k | 16 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause | |
| Senior Data ScientistRaidriar7170/hermes-skilleval | 125 | 6 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Time Series Analytics Useropen-edge-platform/edge-ai-libraries | 169 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Smooth Cpp Shared
What does Smooth Cpp Shared do?
Work on the C++ layer that the R package and the Python port share — the headers under src/headers/, the Rcpp bindings in src/, the pybind11 bindings in src/python/, and the two build systems that…. Smooth Cpp Shared is an agent skill from openforecast-org/smooth. Work on the C++ layer that the R package and the Python port share — the headers under src/headers/, the Rcpp bindings in src/, the pybind11 bindings in src/python/, and the two build systems that compile them.
When should I use Smooth Cpp Shared?
Smooth Cpp Shared fits situations like: debugging C++ in this repo; A numeric result differs between the R and Python builds; adding a new binding; A build/compilation step fails.
How do I install Smooth Cpp Shared in Claude Code?
Run `npx skills add openforecast-org/smooth --skill smooth-cpp-shared -a claude-code`. Or copy the skill folder (.claude/skills/smooth-cpp-shared in openforecast-org/smooth) into .claude/skills/smooth-cpp-shared in your project. Claude Code loads it when a task matches its description.
How do I install Smooth Cpp Shared in Codex?
Run `npx skills add openforecast-org/smooth --skill smooth-cpp-shared -a codex`. Or copy the skill folder (.claude/skills/smooth-cpp-shared in openforecast-org/smooth) into .agents/skills/smooth-cpp-shared in your project. Codex loads it when a task matches its description.
Can I use Smooth Cpp Shared in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add openforecast-org/smooth --skill smooth-cpp-shared -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/smooth-cpp-shared, .gemini/skills/smooth-cpp-shared, .github/skills/smooth-cpp-shared and .opencode/skills/smooth-cpp-shared in your project.
What does Smooth Cpp Shared need to run?
Going by SKILL.md and its folder, Smooth Cpp Shared needs the command-line tools its instructions call (python and python3). Our summary lists: Python 3.
Does Smooth Cpp Shared access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Smooth Cpp Shared safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Smooth Cpp Shared use?
Smooth Cpp Shared is published under the LGPL-2.1 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Smooth Cpp Shared use?
About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Smooth Cpp Shared?
Skills that share tags, products or a category with Smooth Cpp Shared: Elodin DB (elodin-sys/elodin, 547 stars), TimesFM Forecasting (google-research/timesfm, 34k stars), Statsmodels (zLanqing/codex-claude-academic-skills, 4.6k stars) and Senior Data Scientist (Raidriar7170/hermes-skilleval, 125 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Smooth Cpp Shared?
openforecast-org (a GitHub organization) maintains it in openforecast-org/smooth, which has 107 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 7, 2026.
Source: openforecast-org/smooth on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.