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diff --git a/.SRCINFO b/.SRCINFO
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+++ b/.SRCINFO
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+pkgbase = autodiff
+	pkgdesc = Automatic differentiation made easier for C++
+	pkgver = 0.6.2
+	pkgrel = 1
+	url = https://autodiff.github.io
+	changelog = CHANGELOG.md
+	arch = x86_64
+	license = MIT
+	makedepends = cmake
+	makedepends = eigen
+	makedepends = pybind11
+	makedepends = python
+	depends = gcc-libs
+	optdepends = ccache: faster compilations
+	provides = python-autodiff
+	source = autodiff-0.6.2.tar.gz::https://github.com/autodiff/autodiff/archive/v0.6.2.tar.gz
+	sha256sums = b065ac0ec4a94763567a3e7bd79a7d88f464a2028957bfcb994b923a0917c5e6
+
+pkgname = autodiff
diff --git a/CHANGELOG.md b/CHANGELOG.md
new file mode 100644
index 000000000000..72a8fcf61769
--- /dev/null
+++ b/CHANGELOG.md
@@ -0,0 +1,107 @@
+# Change Log
+
+This file documents important changes to this project, which uses [Semantic Versioning](http://semver.org/).
+
+#[v0.5](https://github.com/autodiff/autodiff/releases/tag/v0.5.0) (June 17, 2019)
+[Full Changelog](https://github.com/autodiff/autodiff/compare/v0.5.0...v0.4.2)
+
+This release introduces a **BREAKING CHANGE**!
+
+From now on, methods `derivative`, `gradient`, and `jacobian` require the
+use of auxiliary functions `wrt` and the newly introduced one `at`.
+
+Examples:
+
+~~~c++
+// f = f(x)
+double dudx = derivative(f, wrt(x), at(x));
+~~~
+
+~~~c++
+// f = f(x, y, z)
+double dudx = derivative(f, wrt(x), at(x, y, z));
+double dudy = derivative(f, wrt(y), at(x, y, z));
+double dudz = derivative(f, wrt(z), at(x, y, z));
+~~~
+
+~~~c++
+// f = f(x), scalar function, where x is an Eigen vector
+VectorXd g = gradient(f, wrt(x), at(x));
+
+// Compuring gradient with respect to only some variables
+VectorXd gpartial = gradient(f, wrt(x.tail(5)), at(x));
+~~~
+
+~~~c++
+// F = F(x), vector function, where x is an Eigen vector
+MatrixXd J = jacobian(f, wrt(x), at(x));
+
+// F = F(x, p), vector function with params, where x and p are Eigen vectors
+MatrixXd Jx = jacobian(f, wrt(x), at(x, p));
+MatrixXd Jp = jacobian(f, wrt(p), at(x, p));
+
+// Compuring Jacobian with respect to only some variables
+MatrixXd Jpartial = jacobian(f, wrt(x.tail(5)), at(x));
+~~~
+
+This release also permits one to retrieve the evaluated value of function during
+a call to the methods `derivative`, `gradient`, and `jacobian`:
+
+~~~c++
+// f = f(x)
+dual u;
+double dudx = derivative(f, wrt(x), at(x), u);
+~~~
+
+~~~c++
+// f = f(x), scalar function, where x is an Eigen vector
+dual u;
+VectorXd g = gradient(f, wrt(x), at(x), u);
+~~~
+
+~~~c++
+// F = F(x), vector function, where x is an Eigen vector
+VectorXdual F;
+MatrixXd J = jacobian(f, wrt(x), at(x), F);
+~~~
+
+#[v0.4.2](https://github.com/autodiff/autodiff/releases/tag/v0.4.2) (Mar 28, 2019)
+[Full Changelog](https://github.com/autodiff/autodiff/compare/v0.4.2...v0.4.1)
+
+This is to force conda-forge to produce a new version (now 0.4.2) since the last
+one (0.4.1) did not work.
+
+#[v0.4.1](https://github.com/autodiff/autodiff/releases/tag/v0.4.1) (Mar 26, 2019)
+[Full Changelog](https://github.com/autodiff/autodiff/compare/v0.4.1...v0.4.0)
+
+This release fixes a bug in the computation of Jacobian matrices when the input
+and output vectors in a vector-valued function have different dimensions (see
+issue [#24](https://github.com/autodiff/autodiff/issues/24)).
+
+#[v0.4.0](https://github.com/autodiff/autodiff/releases/tag/v0.4.0) (Feb 20, 2019)
+[Full Changelog](https://github.com/autodiff/autodiff/compare/v0.4.0...v0.3.0)
+
+This release contains changes that enable autodiff to be successfully compiled
+in Linux, macOS, and Windows. Compilers tested were GCC 7, Clang 9, and Visual
+Studio 2017. Compilers should support C++17.
+
+#[v0.3.0](https://github.com/autodiff/autodiff/releases/tag/v0.3.0) (Feb 5, 2019)
+[Full Changelog](https://github.com/autodiff/autodiff/compare/v0.3.0...v0.2.0)
+
+This release improves the forward mode algorithm to compute derivatives of any
+order. It also introduces a proper website containing a more detailed
+documentation of autodiff library: https://autodiff.github.io
+
+#[v0.2.0](https://github.com/autodiff/autodiff/releases/tag/v0.2.0) (Jul 26, 2018)
+[Full Changelog](https://github.com/autodiff/autodiff/compare/v0.2.0...v0.1.0)
+
+This release permits higher order derivatives to be computed with
+`autodiff::gradx` function and it also enables the use of `autodiff::var` type
+with Eigen vector and matrix types.
+
+#[v0.1.0](https://github.com/autodiff/autodiff/releases/tag/v0.1.0) (Jul 19, 2018)
+[Full Changelog](https://github.com/autodiff/autodiff/compare/v3.6.0...v3.6.1)
+
+This is the first release of autodiff. Please note breaking changes might be
+introduced, but not something that would take you more than a few minutes to
+correct.
diff --git a/PKGBUILD b/PKGBUILD
new file mode 100644
index 000000000000..c7d8fcb1c676
--- /dev/null
+++ b/PKGBUILD
@@ -0,0 +1,38 @@
+# Maintainer: Luis Martinez <luis dot martinez at disroot dot org>
+
+pkgname=autodiff
+pkgver=0.6.2
+pkgrel=1
+pkgdesc="Automatic differentiation made easier for C++"
+arch=('x86_64')
+url="https://autodiff.github.io"
+license=('MIT')
+depends=('gcc-libs')
+makedepends=('cmake' 'eigen' 'pybind11' 'python')
+checkdepends=()
+optdepends=('ccache: faster compilations')
+provides=('python-autodiff')
+changelog=CHANGELOG.md
+source=("$pkgname-$pkgver.tar.gz::https://github.com/autodiff/autodiff/archive/v$pkgver.tar.gz")
+sha256sums=('b065ac0ec4a94763567a3e7bd79a7d88f464a2028957bfcb994b923a0917c5e6')
+
+build() {
+	cmake \
+		-B build \
+		-S "$pkgname-$pkgver" \
+		-DCMAKE_INSTALL_PREFIX=/usr \
+		-DBUILD_SHARED_LIBS=ON \
+		-DAUTOBUILD_BUILD_TESTS=OFF \
+		-DAUTOBUILD_BUILD_EXAMPLES=OFF
+	make -C build
+}
+
+# check() {
+# 	cmake -B build/tests --target tests
+# }
+
+package() {
+	make -C build install DESTDIR="$pkgdir/"
+	cd "$pkgname-$pkgver"
+	install -Dm 644 LICENSE -t "$pkgdir/usr/share/licenses/$pkgname/"
+}