The　small-scale　energy　harvesting　and　self-powered　sensing　are　of　essential　importance　for　achieving　an　efficient,　renewable,　eco-friendly　and　sustainable　power　sources.　In　this　paper,　we　demonstrate　a　novel,　lightweight,　and　designable　anisotropic　stiffness　triboelectric　nanogenerator　(TENG)　and　displacement　sensor.　The　triboelectric　pairs　consist　of　the　carbon　fiber　reinforced　composite　(CFRC)　lamina　and　commercial　office　paper.　The　CFRC　utilized　as　triboelectric　material　is　mainly　because　of　its　merits　embracing　the　high　modulus,　high　specific　strength,　multifunctional　characteristics　of　designable　stiffness　and　absence　of　mechanical　property　loss　and　paper　is　adopted　mostly　on　account　of　low-cost,　commonly　available,　green　and　disposable.　For　the　proposed　device,　the　carbon　fibers　built　in　the　CFRC　and　another　copper　foil　on　paper　firstly　serve　as　conductive　electrodes　to　explore　the　mechanism　and　performance　after　identifying　a　triboelectric　sequence　of　the　CFRC　lamina　and　paper.　With　a　merit　of　designable　anisotropic　stiffness　by　changing　the　orientations　of　fibers,　the　CFRC　board　essentially　has　a　three-layer　structure　and　acts　as　the　supporting　structure.　The　estimated　peak　output　of　open　circuit　voltage　(Voc)　and　short　circuit　current　(Isc)　for　proposed　TENG　by　finger　motion　can　reach　150　V　and　2.5　mu　A　respectively.　The　fabricated　TENG　with　a　steady　output　and　high　power　density　can　directly　light　up　twenty-five　light-emitting　diodes　(LEDs)　of　3.4　V　working　voltage.　Subsequently,　two　pieces　of　CFRC　boards　are　combined　with　paper　gratings　to　develop　a　novel　displacement　sensor,　where　a　self-powered　function　is　achieved　and　no　additional　conductive　electrodes　of　accessory　are　incorporated　besides　the　carbon　fibers.　The　advantage　of　relatively　high-power　outcomes　and　rapid　fabrication　from　the　thin　profile　and　flexible　harvester　for　the　proposed　TENG　and　self-powered　displacement　sensor　offers　a　feasible　CFRC-based　power　solution　for　microelectronics　and　sensors　and　can　be　used　to　future　energy　harvesting　and　structural　health　monitoring　(SHM).